{"id":10,"date":"2025-11-19T13:34:06","date_gmt":"2025-11-19T12:34:06","guid":{"rendered":"https:\/\/site.nord.no\/now\/?page_id=10"},"modified":"2026-02-12T11:29:49","modified_gmt":"2026-02-12T10:29:49","slug":"program","status":"publish","type":"page","link":"https:\/\/site.nord.no\/now\/?page_id=10","title":{"rendered":"Programme"},"content":{"rendered":"\n
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Note: <\/strong>Monday is only Online. Tuesday, Wednesday and Thursday is only on Campus (Levanger)<\/p>\n\n\n\n

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Online, Monday February 9th<\/sup><\/strong>
Se jump links below<\/p>\n\n\n\n

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09:00-15:45:<\/strong>
\u25be<\/strong> Stream 1<\/strong><\/a> \u25be<\/strong>
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12:45-14:00:<\/strong>
\u25be<\/strong> Stream 2<\/strong><\/a> \u25be<\/strong>
<\/td><\/tr><\/tbody><\/table><\/figure>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n\n\n\n
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On Campus, February 10th<\/sup>-12th<\/sup><\/strong>
Se jump links below<\/p>\n\n\n\n

\u25be<\/strong> Tuesday<\/strong><\/a> \u25be<\/strong><\/td><\/td>\u25be<\/strong> Wednesday<\/strong><\/a> \u25be<\/strong><\/td><\/td>\u25be<\/strong> Thursday<\/strong><\/a> \u25be<\/strong><\/td><\/tr><\/tbody><\/table><\/figure>\n<\/div><\/div>\n<\/div><\/div>\n<\/div><\/div>\n\n\n\n
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Monday, February 9th – Online<\/strong><\/p>\n\n\n\n

Stream 1<\/strong>
Zoom link before lunch (Expired) | Zoom link after lunch<\/a><\/p>\n\n\n\n

Time<\/th>Speaker<\/th>Topic<\/th><\/tr><\/thead>
09:00 – 09:05<\/td>Helga Dis Isfold Sigurdardottir<\/strong>, Associate Professor and Hans J\u00f8rgen St\u00f8p<\/strong>, Associate Professor<\/td>Opening of the conference<\/td><\/tr>
09:05 \u2013 10:00<\/td>Keynote: <\/strong>
Martin Clancy<\/strong>, founder of AI:OK,<\/td>		You Can Call Me HAL: How I Tried to Make AI OK<\/a><\/td><\/tr>
10:10 \u2013 10:50<\/td>Cristina Zoica Dumitru<\/strong>
Educator<\/td>		AI, Art and Human Creativity<\/a><\/td><\/tr>
11:00 \u2013 11:20<\/td>Dolores Modic <\/strong>
Associate Professor in Innovation and Management<\/td>		AI Meets Innovation Research: Opportunities and pitfalls<\/a><\/td><\/tr>
11.20-11.40<\/td>Anastasiya Henk<\/strong>
Associate professor in management and strategy<\/td>		AI Literacy in the public sector organizations<\/a><\/td><\/tr>
Lunch break<\/em><\/td>Lunch break<\/em><\/td>Lunch break<\/em><\/td><\/tr>
13.00 \u2013 13.45<\/td>Nanette Nielsen<\/strong>
Professor<\/td>		Enacting Musical Creativity: the Value of Human Agency in the Face of AI<\/a><\/td><\/tr>
14.00 \u2013 14.45<\/td>J\u00f8rgen Taraldsen <\/strong>
CEO of Megapop
Mikael Klages<\/strong>
CTO of Megapop<\/td>		Cautiously Optimistic: AI in Creative Companies<\/a><\/td><\/tr>
15.00 \u2013 15.45<\/td>Maka Suarez <\/strong>
Assistant professor in social anthropology<\/td>		Ethnographic writing in times of upheaval<\/a><\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n

Stream 2<\/strong>
Zoom link (Expired)<\/p>\n\n\n\n

Time<\/th>Speaker<\/th>Topic<\/th><\/tr><\/thead>
10:10 – 10:30<\/td>Matthew Dillon Ozuna<\/strong>
Social anthropologist<\/td>		DIGITAL (AI)PARTHEID: Postcolonial perspectives on algorithmic violence and visibility surrounding the Palestinian diaspora in Norway<\/a><\/td><\/tr>
10:35 – 10:50<\/td>Carmen Stoian<\/strong>, Learning and development professional<\/td>The Influence of Technological Evolution on Youth Reading Habits. <\/a><\/td><\/tr>
11:00 – 11:45<\/td>Chris Ronald Hermansen<\/strong>
Head of editorial innovation at TV 2s newsroom<\/td>		The Newsroom of the Future: AI Innovation at TV2<\/a><\/td><\/tr>
Lunch break<\/em><\/td>Lunch break<\/em><\/td>Lunch break<\/em><\/td><\/tr>
12:45 – 13:30<\/td>Kristian Schnell<\/strong>
Commercial lead at FOKUS<\/td>		AI Machine learning and detailed match data reshaping football scouting<\/a><\/td><\/tr>
13:45 – 14:00<\/td>S\u00f8gni Gjerl\u00f8w Sundb\u00f8 <\/strong>
University librarian<\/td>		The VINST Alliance AI Collaboration: Background and Direction<\/a><\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n
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Tuesday, February 10th<\/sup><\/strong><\/p>\n\n\n\n

Big Auditorium (Ny4.121.1 & Ny4.121.2)<\/p>\n\n\n\n

Time<\/th>Speaker<\/th>Topic<\/th><\/tr><\/thead>
09:00 \u2013 09:10<\/td>Levi G\u00e5rseth-Nesbakk<\/strong><\/a>
Nord University Pro-Rector of Education<\/td>		Intro to the conference<\/td><\/tr>
09:10 \u2013 10:00<\/td>Keynote: <\/strong>
Keith Downing <\/strong>professor of Artificial Intelligence<\/td>		Artificial Intelligence for Real People<\/a><\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n

\u2014\u2014\u2014\u2014\u2014\u2014\u2013 BREAK \u2014\u2014\u2014\u2014\u2014\u2014\u2013<\/p>\n\n\n\n

Big Auditorium (Ny4.121.1 & Ny4.121.2) & Blue Auditorium (Ny3.121)<\/p>\n\n\n\n

Big Auditorium<\/th><\/th><\/th>Blue Auditorium<\/th><\/th><\/tr>
Time<\/th>Speaker<\/th>Topic<\/th>Speaker<\/th>Topic<\/th><\/tr><\/thead>
10:30 \u2013 11:00<\/td>Lauriane Ribas-Deulofeu <\/strong>
Marine ecologist (PhD)<\/td>		Keeping pace with the changing ocean: Harnessing AI for adaptive biodiversity monitoring<\/a><\/td>Chris Hart<\/strong>, Assistant Professor<\/td>What happened on Move 37?<\/a><\/td><\/tr>
11:00 \u2013 11.45<\/td>Cancelled<\/strong><\/mark>
Anastasiya Henk<\/strong>
Associate professor in management and strategy<\/s><\/td>		Advanced AI applications for complex unstructured data sets: Examples from ECoC evaluations<\/a><\/td>\u00cdris \u00de\u00f3ra Birgisd\u00f3ttir<\/strong>
Digital Youth Ambassador<\/td>		A youth perspective on online violence in the age of AI: Iceland’s Digital Youth Ambassador on AI, deepfakes, digital rights, and youth experiences online.<\/a><\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n

\u2014\u2014\u2014\u2014\u2014\u2014\u2013 LUNCH BREAK \u2014\u2014\u2014\u2014\u2014\u2014\u2013<\/p>\n\n\n\n

Big Auditorium (Ny4.121.1 & Ny4.121.2)<\/p>\n\n\n\n

Big Auditorium<\/th><\/th><\/th><\/tr>
Time<\/th>Speaker<\/th>Topic<\/th><\/tr><\/thead>
12:30 \u2013 12:45<\/td>Kari Ingstad<\/strong>
Professor of Sociology<\/td>		Artificial Intelligence and Shift Scheduling in the Health Sector \u2013 Opportunities and Limitations<\/a><\/td><\/tr>
12:45 \u2013 13:30<\/td>Ashley (Ley) Muller<\/strong> Transformational leader, PhD in philosophy and medicine<\/td>Whose voices are heard in AI? Lessons from the people who spoke up, and got pushed out <\/a><\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n

\u2014\u2014\u2014\u2014\u2014\u2014\u2013 BREAK \u2014\u2014\u2014\u2014\u2014\u2014\u2013<\/p>\n\n\n\n

Big Auditorium<\/th><\/th><\/th><\/tr>
Time<\/th>Speaker<\/th>Topic<\/th><\/tr><\/thead>
14:00 \u2013 14:15<\/td>Coffee & mingling \ud83d\ude42<\/td><\/td><\/tr>
14:15 \u2013 15:00<\/td>Maarit Jaakkola <\/strong>
Associate professor in journalism<\/td>		Beyond Universal AI Literacy: Individualized Technological Relationships <\/a><\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n

\u2014\u2014\u2014\u2014\u2014\u2014\u2013 SHORT BREAK \u2014\u2014\u2014\u2014\u2014\u2014\u2013<\/p>\n\n\n\n

Time<\/th>Speaker<\/th>Topic<\/th><\/tr><\/thead>
15:15 \u2013 16:00<\/td>Keynote:<\/strong>
Miriam Kl\u00f6pper <\/strong>
Postdoctoral reseacher in Computer Science<\/td>		From Metrics to Mistakes \u2013 Navigating Risks of Algorithmic Workforce Management<\/a><\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n
Time<\/th>Panel<\/th>Topic<\/th><\/tr><\/thead>
16:15<\/td>Moderator:
Hans J\u00f8rgen St\u00f8p, <\/strong>Associate Professor

Terje Solvoll<\/strong>, Professor at Norwegian Centre for E-health Research
Miroslav Muzny<\/strong>, PhD in Biomedical Informatics
Ketil Thorvik<\/strong>, Innovation advisor<\/td>		How we can build AI-ready health infrastructure for Mid- and North Norway, with a particular focus on the interface between existing large-scale platforms (such as Helseplattformen) and newer, more distributed and federated approaches to health data and services.<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n
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\u2014\u2014\u2014\u2014\u2014\u2014\u2013 Evening: Networking Event \u2014\u2014\u2014\u2014\u2014\u2014\u2013<\/p>\n\n\n\n

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Wednesday, February 11th<\/sup><\/strong><\/p>\n\n\n\n

Big Auditorium (Ny4.121.1 & Ny4.121.2)<\/p>\n\n\n\n

Big Auditorium<\/th><\/th><\/th><\/tr>
Time<\/th>Speaker<\/th>Topic<\/th><\/tr><\/thead>
09:15 – 09:20<\/td>Intro by Lars Kyed<\/strong><\/td><\/td><\/tr>
09:20 \u2013 10:15<\/td>Keynote, Jakob Welner<\/strong>
Software Animation Developer<\/td>		Animating your way to robots<\/a><\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n

\u2014\u2014\u2014\u2014\u2014\u2014\u2013 BREAK \u2014\u2014\u2014\u2014\u2014\u2014\u2013<\/p>\n\n\n\n

Big Auditorium (Ny4.121.1 & Ny4.121.2) & Blue Auditorium (Ny3.121)<\/p>\n\n\n\n

Big Auditorium<\/th><\/th><\/th>Blue Auditorium<\/th><\/th><\/tr>
Time<\/th>Panel – nursing<\/th>Topic<\/th>Speaker<\/th>Topic<\/th><\/tr><\/thead>
10:45 \u2013 11:00<\/td>Moderator:
Hans J\u00f8rgen St\u00f8p, <\/strong>Associate Professor

Lise Tuset Gustad<\/strong>, Associate Professor
Rune Wagnild<\/strong>, Clinical Director, Department of Diagnostic Imaging
Keith Downing, <\/strong>(Professor)<\/td>		When AI sees disease before we do \u2013 and reorganises the workday: diagnostic support and new routines in health care<\/a><\/td>Olivia Hansen<\/strong>
Assistant Professor<\/td>		Stay in touch – keep it real<\/a><\/td><\/tr>
11:00 \u2013 11.45<\/td>Panel continues<\/td>Panel continues<\/td>Stef\u00e1n Freyr Gu\u00f0mundsson <\/strong>
Director of Data, Analytics, and AI at CCP Games<\/td>		AI Behind the Scenes at CCP Games<\/a><\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n

\u2014\u2014\u2014\u2014\u2014\u2014\u2013 LUNCH BREAK \u2014\u2014\u2014\u2014\u2014\u2014\u2013<\/p>\n\n\n\n

Different rooms<\/p>\n\n\n\n

Time \/ Room<\/th>Workshop<\/th>Topic<\/th><\/tr><\/thead>
12:30 \u2013 13:30 \/ NY 2.205<\/td>Kaspar Bredahl Rasmussen<\/strong>
Senior Adviser<\/td>		Your assessment just got an A. Now what?<\/a><\/td><\/tr>
12:30 \u2013 13:30 \/ NO 1114<\/td>Oddlaug M. Lindgaard<\/strong>, Senior Adviser and Line Kol\u00e5s<\/strong>, Associate Professor<\/td>How to Get Good Answers from AI? For Lower and Upper Secondary School Teachers<\/a><\/td><\/tr>
12:30 \u2013 13:30 \/ NY 2.202<\/td>Dr. Iv\u00e1n<\/strong> \u201cSynpheros\u201d P\u00e9rez Colado<\/strong><\/td>Developing in the Age of AI: Tools for Code & UI<\/a><\/td><\/tr>
12:30 \u2013 13:30 \/ NY 3.122<\/td>Hans J\u00f8rgen St\u00f8p<\/strong>, Associate Professor<\/td>Music, tools and AI<\/a><\/td><\/tr>
12:30 \u2013 13:30 \/ No 1215<\/td>Guttorm Sindre<\/strong>, Professor<\/td>Self-paced mastery learning: Revival in the Age of GenAI?<\/a><\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n

\u2014\u2014\u2014\u2014\u2014\u2014\u2013 BREAK \u2014\u2014\u2014\u2014\u2014\u2014\u2013<\/p>\n\n\n\n

Big Auditorium (Ny4.121.1 & Ny4.121.2) & Blue Auditorium (Ny3.121)<\/p>\n\n\n\n

Big Auditorium<\/th><\/th><\/th>Blue Aduitorium<\/th><\/th><\/tr>
<\/th>Speaker<\/th>Topic<\/th>Speaker<\/th>Topic<\/th><\/tr><\/thead>
13:45 \u2013 14:15<\/td>Roland van den Tillaar <\/strong>
Professor in Sports Science<\/td>		The use of AI in handball<\/a><\/td><\/td><\/td><\/tr>
14:15 \u2013 15:00<\/td>Oliver Henk <\/strong>
Associate professor in management control<\/td>		The path of Doksa.io: from research to commercialization of an AI app in academia<\/a><\/td>Guttorm Sindre<\/strong>, Professor<\/td>Self-Paced Mastery Learning: Combining Robustness Against and Learning With Generative AI<\/a><\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n

\u2014\u2014\u2014\u2014\u2014\u2014\u2013 SHORT BREAK \u2014\u2014\u2014\u2014\u2014\u2014\u2013<\/p>\n\n\n\n

Big Auditorium<\/th><\/th><\/th>Blue Auditorium<\/th><\/tr>
Time<\/th>Speaker<\/th>Topic<\/th>Creative Weekend<\/th><\/tr><\/thead>
15:15 \u2013 15:30<\/td>Lars Molden <\/strong>
Associate Professor in Innovation and Entrepreneurship<\/td>		Impact of AI on the economy – productivity and labor market implications<\/a><\/td>Creative Weekend Participants Creations Pitches<\/td><\/tr>
15:30 \u2013 16:15<\/td>Adam Palmquist<\/strong>
Senior Lecturer in Interaction Design at M\u00e4lardalen University and Associate Professor in Games and Entertainment Technologies<\/td>		Doing interaction design with generative AI<\/a><\/td>Creative Weekend Participants Creations Pitches<\/td><\/tr>
16:15 \u2013 18:00<\/td><\/td><\/td>Creative Weekend Participants Creations Pitches<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n
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20:00: Networking Event & Creative Weekend award ceremony<\/strong><\/p>\n\n\n\n

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Thursday, February 12th<\/sup><\/strong><\/p>\n\n\n\n

Blue Auditorium (Ny3.121)<\/p>\n\n\n\n

Time<\/th>Speaker<\/th>Topic<\/th><\/tr><\/thead>
09:00-09:05<\/td>Intro by Helga D. I. Sigurdardottir<\/strong><\/td><\/td><\/tr>
9.05-10.00<\/td>Keynote Talon Winsnes <\/strong>
Film director and writer<\/td>		Creative fiction: What we gain \u2014 and risk losing \u2014 when AI enters the artistic process<\/a><\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n

\u2014\u2014\u2014\u2014\u2014\u2014\u2013 SHORT BREAK \u2014\u2014\u2014\u2014\u2014\u2014\u2013<\/p>\n\n\n\n

Blue Auditorium (Ny3.121) & Pink Auditorium<\/p>\n\n\n\n

Blue Auditorium<\/th><\/th><\/th>Pink auditorium<\/th><\/th><\/tr>
TIme<\/th>Speaker<\/th>Topic<\/th>Speaker<\/th>Topic<\/th><\/tr><\/thead>
10:15 \u2013 10:30<\/td>Mohamed El Ghami <\/strong>
Professor and leader of research group Knowledge Building and Knowledge in Education<\/td>		Knowledge and Integration of Artificial Intelligence in Secondary Schools: Mathematics and Norwegian Teachers\u2019 Beliefs<\/a><\/td>Charlotte Simone Elverum Hunt<\/strong>
Lecturer and Course Leader for the BA (Hons) CGA and Animation course at Nord University<\/td>		Putting AI to work, are the tools fit for purpose. Reallusion’s AI generated Lip-syncing in the 3D animation pipeline<\/a><\/td><\/tr>
10.30 \u2013 11.15<\/td>Patrick Murphy <\/strong>
Professor in education<\/td>		AI: One Teacher\u2019s Dream is Another Teacher\u2019s Nightmare<\/a><\/td>H\u00e5vard Stranden<\/strong>
CEO of Horizon Software<\/td>		How AI moves and impacts Norwegian and global aquaculture<\/a><\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n

\u2014\u2014\u2014\u2014\u2014\u2014\u2013 LUNCH BREAK \u2014\u2014\u2014\u2014\u2014\u2014\u2013<\/p>\n\n\n\n

Blue Auditorium<\/th><\/th><\/th><\/tr>
Time<\/th>Speaker<\/th>Topic<\/th><\/tr><\/thead>
12:00 – 12:15<\/td>Sofija Tosheva <\/strong>
Computer Science engineer, researcher and upper secondary school teacher<\/td>		AI-Supported Student Grading and Career Guidance<\/a><\/td><\/tr>
12:15 – 12:30<\/td>Sergei Sizov<\/strong>
IT Specialist, Prpgrammer,
Computer Science Teacher<\/td>		Google possibilities<\/a><\/td><\/tr>
12:30 – 12:45<\/td>Marif\u00e9 Garcia Ros <\/strong>
English Language teacher for Secondary Education<\/td>		AI in Secondary School classes<\/a><\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n

\u2014\u2014\u2014\u2014\u2014\u2014\u2013 SHORT BREAK \u2014\u2014\u2014\u2014\u2014\u2014\u2013<\/p>\n\n\n\n

Big Auditorium (Ny4.121.1 & Ny4.121.2) & Blue Auditorium (Ny3.121)<\/p>\n\n\n\n

Big Auditorium<\/th><\/th><\/th>Blue Auditorium<\/th><\/th><\/tr>
Time<\/th>Speaker<\/th>Topic<\/th>Facilitator<\/th><\/th><\/tr><\/thead>
13.00 \u2013 13:15<\/td>Nikolaos Diamantopoulos <\/strong>
Informatics professional and secondary education teacher<\/td>		Using AI in teaching in Greece<\/a><\/td>Lars Kyed<\/strong><\/td>Embracing Creative Unpredictability: Introducing \u201cHappy Accidents\u201d into Animation Through Live\u2011Action Methods and AI<\/a><\/td><\/tr>
13.15 \u2013 14.00<\/td>Apostolos Spanos<\/strong>
Professor of history<\/td>		BloomingAI: Combining GenAI and Bloom’s taxonomy in student-active learning. <\/a><\/td>Troels Linde<\/strong><\/td>Digitalisation of film production meets AI: “concepts of a plan”<\/a><\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n

\u2014\u2014\u2014\u2014\u2014\u2014\u2013 BREAK \u2014\u2014\u2014\u2014\u2014\u2014\u2013<\/p>\n\n\n\n

Big Auditorium (Ny4.121.1 & Ny4.121.2)<\/p>\n\n\n\n

Time<\/th>Panel<\/th>Topic<\/th><\/tr><\/thead>
14:15 \u2013 15:00<\/td>Moderator:
Hans J\u00f8rgen St\u00f8p, <\/strong>Associate Professor

Erik Johansen, <\/strong>Advisor, NTNU
Kaspar Rasmussen<\/strong>, Senior Adviser
Apostolos Spanos<\/strong>, Professor
Tuva Christiansen<\/strong>, Student
Talon Winsnes, <\/strong>Film director and writer <\/td>		Panel on AI in higher education<\/a><\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n

\u2014\u2014\u2014\u2014\u2014\u2014\u2013 SHORT BREAK (15 min) \u2014\u2014\u2014\u2014\u2014\u2014\u2013<\/p>\n\n\n\n

Time<\/th>Keynote<\/th>Topic<\/th><\/tr><\/thead>
15:15 \u2013 16:00<\/td>Viktor Popovic<\/strong>
Lead Art Producer at Funcom<\/td>		Production-Grade AI in Games: where it helps, where it hurts, and how to implement it responsibly<\/a><\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n
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Conference Closing Act<\/strong><\/p>\n\n\n\n

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Talks<\/strong><\/p>\n\n\n\n

Speaker: <\/strong>Ashley (Ley) Muller
Talk: <\/strong>Whose voices are heard in AI? Lessons from the people who spoke up, and got pushed out
Short Description: <\/strong>In AI development, research, and capacity-building, people must feel safe to raise concerns. Yet those who spot ethical problems seem to be the least empowered: immigrants, women, queer, racialized, neurodivergent people. I will share some of their stories from my ongoing book, AI ethics-washing, and engage with why being an ‘outsider’, might make you more likely to speak up about AI ethics – or more likely to be punished for it? This talk is for anyone who wants to make AI more just. <\/p>\n\n\n\n

Speaker: <\/strong>Apostolos Spanos
Talk: <\/strong>BloomingAI: Combining GenAI and Bloom’s taxonomy in student-active learning. 
Short Description: <\/strong> BloomingAI is a project combining GenAI (ChatGPT) to Bloom\u2019s taxonomy of educational outcomes. My team has developed a web application which can be used by the students of any subject, at primary, secondary and higher education. The use of the application is based on Bloom\u2019s six cognitive learning processes (remembering, understanding, applying, analysing, evaluating and creating) and the taxonomy\u2019s four types of knowledge (factual, conceptual, procedural and metacognitive). The application has been already piloted in my BA course Introduction to Historical Consciousness, in seminars where students discussed the content of the course, prepared their own teaching, analyzed and evaluated essays generated by ChatGPT, and reflected on ChatGPT as a student and historian and on their own Chat-GPT assisted performance. According to the students\u2019 feedback, using the application helped them prepare for the classes, be more active during interactive lectures and seminars, and improving their conceptual knowledge (by using ChatGPT as a discussion partner in Socratic dialogues we have designed), their procedural knowledge (as they can better understand how a historian or a history student functions), and their metacognitive knowledge (by reflecting on their own work by comparing it to the work of ChatGPT or by rethinking their own use of the application, individually and collectively). In my talk I will discuss positive and challenging dimensions in using the application and present our plans for improving it both as teaching and learning assistant. <\/p>\n\n\n\n

Speaker: <\/strong>Matthew Dillon Osuna
Talk: <\/strong>DIGITAL (AI)PARTHEID: Postcolonial perspectives on algorithmic violence and visibility surrounding the Palestinian diaspora in Norway
Short Description: <\/strong> Project description: Artificial intelligence (AI) is increasingly being deployed as a key mediator of political perceptions, influencing public discourse, Palestinian visibility, and the dissemination of on-the-ground evidence surrounding atrocities in Gaza\u2014a phenomenon now recognised by the UN and global human rights organisations as constituting genocide. Repressive techniques of information control are now being automated across social media platforms such as Instagram, extending Israel\u2019s global information warfare and blurring the line between state and private actors. My project investigates how algorithmic infrastructures actively participate in a form of digital apartheid: a sociotechnical system that reorganises who is seen, heard, suppressed, or is rendered invisible from public discourse, whereby Big Tech corporations such as Meta largely align with the state interests of the US and Israel. Through digital political anthropology, my project examines how activists in the Palestine movement in Norway interpret algorithmic violence and censorship\u2014and how visibility is contested and navigated across hybrid digital and physical activist spaces. Drawing on Achille Mbembe\u2019s postcolonial theory of Necropolitics and Miriam Deprez\u2019s concept of visual necropolitics, the project conceptualises digital apartheid as a necropolitical extension into AI-driven algorithms, where life, death, and representation are unevenly distributed along colonial lines, producing new inequalities through digital dispossession. Employing qualitative, ethnographic, and digital methods for empirical inquiry, the main empirical site is Oslo\u2019s pro-Palestinian activist network, with potential comparative sites in Europe and the US, studying the everyday negotiations with heavy content moderation, shadow banning, and censorship as lived, violent processes. <\/p>\n\n\n\n

Speaker: <\/strong>Lars Molden
Talk: <\/strong>Impact of AI on the economy – productivity and labor market implications
Short Description: <\/strong> Nobel Laureate Robert Solow famously said that \u201cI can see the computers everywhere except for in the productivity statistics\u201d. This stance has been helt do be true for many years. However, will the AI revolution change this? How would AI shape the modern economy from productivity to labor markets? Is this time different?<\/p>\n\n\n\n

Speaker: <\/strong>Marif\u00e9 Garcia Ros
Talk: <\/strong>AI in Secondary School classes
Short Description: <\/strong> Use of AI be Secondary education teachers to prepare lessons and materials and use of AI apps be secondary school students to create texts, videos, audios, images, presentations, etc.<\/p>\n\n\n\n

Speaker: <\/strong>Patrick Murphy
Talk: <\/strong>AI: One Teacher\u2019s Dream is Another Teacher\u2019s Nightmare
Short Description: <\/strong> AI is here to stay, so why not enjoy some of its potential? This presentation will take a wee peek into using AI generated texts for language learning, confidence building, and play. The suggested activities presented are learner centred \u2013 and do not be surprised if participation is required\u2026<\/p>\n\n\n\n

Speaker: <\/strong>Mohamed El Ghami
Talk: <\/strong>Knowledge and Integration of Artificial Intelligence in Secondary Schools: Mathematics and Norwegian Teachers\u2019 Beliefs
Short Description: <\/strong> In this talk we discuss how generative AI can be integrated into education, using social realism and Legitimation Code Theory to investigate teachers\u2019 use of AI in schools. These theories emphasize knowledge and knowledge practices, offering a contrasting lens to dominant educational research trends. The paper reviews key aspects of Norwegian policy on digital technology and AI in schools, revealing a mismatch between this strategy and teachers\u2019 actual knowledge practices. It argues that these practices are shaped by underlying organizational principles that often conflict with official goals. The discussion highlights how the subjects\u2019 forms of knowledge influence teachers\u2019 use of AI in the classroom. The conclusion outlines why knowledge and teachers\u2019 knowledge practices are essential for successful integration of digital technology and AI in education.<\/p>\n\n\n\n

Speaker: <\/strong>Oliver Henk
Talk: <\/strong>The path of Doksa.io: from research to commercialization of an AI app in academia
Short Description: <\/strong>The presentation will trace the path from academic insight to commercial venture in developing Doksa.io, an AI-driven research assistant for qualitative analysis and literature reviews. Built on experiences from several research projects and studies, we realized that our field lacks rigorous and controlled digital tools for systematic analysis. The presentation will share both the development process and the pitfalls encountered along the way\u2014from technical challenges and regulatory compliance to stakeholder engagement and market positioning. We reflect on what it means to bridge the gap between academic innovation and viable product, offering practical lessons for researchers considering similar paths.<\/p>\n\n\n\n

Speaker: <\/strong>Dolores Modic
Talk: <\/strong>AI Meets Innovation Research: Opportunities and pitfalls
Short Description: <\/strong>This lecture explores how artificial intelligence, particularly large language models (LLMs), is transforming both core and creative aspects of scientific research. While LLMs are increasingly used for writing, ideation, and intellectual contributions, their application in innovation and intellectual property (IP) research remains emerging. The talk will provide an overview of potential uses, and critically examine the gap between tools designed for practitioner efficiency and the rigorous standards of reproducibility, validity, and transparency required in scholarly IP research. We also dedicate some time to contemplate on potential emerging reporting standards for scholarly works. The talk is based on a chapter Dolores is preparing with various co-authors, as well as on her work related to the AI-based IP tools.<\/p>\n\n\n\n

Speakers: <\/strong>J\u00f8rgen Taraldsen & Mikael Klages
Talk: <\/strong>Cautiously Optimistic: AI in Creative Companies
Short Description: <\/strong>As with previous technological leaps, AI is currently on everyone\u2019s lips. The games industry has long been shaped by grand promises of new technology, and with the gap that often emerges between promise and practice when technologies fail to deliver as expected. There is little doubt that AI is transformative. At the same time, it raises important questions about what it actually means to adopt a technology that has clear flaws, limitations, and a somewhat fragile reputation. Against this backdrop, Megapop shares reflections on the use of AI in game development companies, as it is experienced in everyday professional practice today.<\/p>\n\n\n\n

Speaker: <\/strong>Adam Palmquist
Talk: <\/strong>Co-Designing with the Machine: Opportunities and Tensions in Human\u2013AI Co-Creative Practice
Short Description: <\/strong>This talk examines how generative AI (GenAI) systems are increasingly integrated into contemporary interaction design practice as co-creative partners rather than merely instrumental tools. Drawing on principles from human\u2013computer interaction, co-design, and human-centred design, the talk explores how interaction designers can meaningfully collaborate with GenAI systems across the design process, from ideation and concept development to prototyping and critical reflection. Particular attention is given to both the opportunities this collaboration affords and the tensions it introduces when working with machines in augmented design practices.<\/p>\n\n\n\n

Speaker: <\/strong>Talon Winsnes
Talk: <\/strong>Creative fiction: What we gain \u2014 and risk losing \u2014 when AI enters the artistic process
Short Description: <\/strong>What happens to artistic authorship when machines begin to anticipate our choices before we make them? In this talk, filmmaker Talon Darren Winsnes reflects on how working with AI \u2014 including the 48-hour experiment short film \u00abLook Within\u00bb created during Cinema Synthetica \u2014 fundamentally altered his creative process. Rather than focusing on tools, the talk explores how AI reshapes intuition, authorship and the director\u2019s role, especially within emotionally driven and performance-based filmmaking. Through concrete examples from horror, dance and improvisation-based methods, Winsnes discusses what is lost when creative friction disappears \u2014 and why the real challenge of AI in the arts is not efficiency, but the erosion of artistic resistance. A critical and reflective contribution to the conversation about creativity and responsibility in an AI-driven future.<\/p>\n\n\n\n

Speaker: <\/strong>Sergei Sizov
Talk: <\/strong>Google possibilities
Short Description: <\/strong>I would like to briefly highlight the latest developments in Google\u2019s artificial intelligence ecosystem and their practical applications. One of the key milestones is the launch of Gemini 3 Pro, a powerful model designed not only for developers but also for a wider range of users. Special attention should be given to Google AI Studio, a modern environment that enables so-called \u201cvibe coding,\u201d allowing users to build functional applications, generate professional-quality videos using Veo 3, and produce high-quality speech from text. Another important advancement is the updated NotebookLM, which can now transform documents into interactive mind maps, audio debates, and video slideshows, making information processing more visual and engaging. Google is also expanding Gemini Canvas Mode for collaborative coding, as well as AI extensions for summarizing and analyzing content, including YouTube materials. At the same time, these innovations raise critical questions about security. As autonomous AI agents become more widespread, responsible data governance and robust security measures are essential challenges that must be addressed.<\/p>\n\n\n\n

Speaker: <\/strong>Nikolaos Diamantopoulos
Talk: <\/strong>Meaningful and Ethical Integration of Artificial Intelligence in Greek Secondary Education: A Classroom-Based Perspective
Short Description: <\/strong>This presentation explores how Artificial Intelligence is currently being integrated into Greek secondary education from a classroom-based perspective. It highlights practical teaching applications, emerging ethical challenges, and teachers\u2019 experiences within a centralized public education system. The talk emphasizes the importance of pedagogy, equity and ethical awareness, while illustrating how European collaboration can support responsible and meaningful AI use in secondary schools.<\/p>\n\n\n\n

Speaker: <\/strong>Terje Solvoll
Talk: <\/strong>From silofication to distributed health services: Building AI-ready infrastructure for patient centered pathways and intelligent EHR systems for data sharing
Short Description: <\/strong><\/p>\n\n\n\n

Speaker: <\/strong>Kaspar Bredahl Rasmussen
Talk: <\/strong>Your assessment just got an A. Now what?
Short Description: <\/strong>Your assessment just got an A. Now what?
Within a few minutes, AI can produce work that would earn most students a solid pass \u2013 sometimes better. That’s not a future scenario. It’s Wednesday lunch.
In this workshop, we start with a live demonstration of what AI can actually do with a typical university assignment. Then we move quickly from “this is terrifying” to “so how do we design our way forward?”We’ll look briefly at how some universities are responding (spoiler: there’s no perfect answer), and then you’ll get to work on your own assessment challenge. Bring a course, an exam, or an assignment that’s been nagging at you. You’ll leave with at least one concrete idea for redesigning it \u2013 not to make it AI-proof, but to make it worth doing in a world where AI exists.Students are welcome too \u2013 you bring the perspective that’s often missing from these conversations: what actually makes an assignment feel meaningful, or pointless, when AI is right there?
This is a hands-on session. Expect to think, sketch, and maybe feel slightly uncomfortable. That’s the point.
You’ll leave with: <\/strong>
– A clearer sense of what AI actually changes (and what it doesn’t)
– A simple framework for rethinking assessment design
– At least one redesigned assessment idea that’s been tested against student reality
Bring:<\/strong> A laptop, phone, or just a pen. Educators \u2013 bring an assessment you’re willing to rethink. Students \u2013 bring the view from the other side.<\/p>\n\n\n\n

Speaker: <\/strong>Nanette Nilsen
Talk: <\/strong>Enacting Musical Creativity: the Value of Human Agency in the Face of AI
Short Description:<\/strong> When it comes to human consciousness, it isn’t always healthy to choose the path of least resistance. In his recent critique of well-established simplified comparisons between the human mind and AI, Alva No\u00eb encourages us to ‘rage against the machine’: ‘for all the promise and dangers of AI, computers plainly can’t think. To think is to resist-something no machine does (No\u00eb, 2024).’ In this article, I build on No\u00eb’s timely encouragement, and sketch perspectives from both music studies and enactivist philosophy in order to interrogate what musicking (Small, 1998) might add to the debate. As a case study, I explore the recent public discourse surrounding the AI-band The Velvet Sundown and consider the implications-mental health related and ethical-of engaging with AI-generated music. I draw on current scholarship on musical creativity and AI to discuss the possibilities and limitations of creative agency in AI, laying the foundation for why human creative agency should be regarded more valuable than the artificial creativity that AI offers. I also discuss some ethical implications of sharing agency with AI, suggesting that we should continue to foster attunement to our creative agency and capabilities, as empowered, but also vulnerable musicking human agents. Exploring a range of different examples, I argue that musicking offers an enactive entanglement through which we are granted an opportunity to embrace risk, resist rules, and learn new modes of orientation and reorientation that serve as empowering tools for navigating our way through the resistant path to being human.<\/p>\n\n\n\n

Speaker: <\/strong>Maarit Jaakkola
Talk: <\/strong>Beyond Universal AI Literacy: Individualized Technological Relationships 
Short Description: <\/strong>As artificial intelligence (AI) technologies continue to develop and permeate multiple domains of society, it has become increasingly evident that AI is not experienced, accessed, or applied in uniform ways. Individuals\u2019 needs, contexts, and choices, as well as prior knowledge and skills, vary considerably, shaping distinct relationships with technology. In addition, personalized, algorithmically driven environments are shaped by gendered dynamics and socioeconomic conditions that highlight difference, especially in terms of age and gender. This variation calls for pedagogical approaches that move beyond generalized or tool-centered perspectives on AI and instead foreground the situated and individualized nature of human\u2013AI interaction. In this presentation, I introduce a conceptual pedagogical model that centers on the individual\u2019s relationship to technology and examines how this relationship is negotiated and contested across everyday, professional, and educational contexts of journalism. I discuss how AI intersects with established professional norms, epistemic practices, and learning processes, and how pedagogical design can support reflective, critical, and context-sensitive engagement with AI. By emphasizing individual technological relationships rather than universalized competencies, the proposed framework contributes to ongoing discussions on AI literacy, pedagogy, and professional education.<\/p>\n\n\n\n

Speaker: <\/strong>Lauriane Ribas-Deulofeu
Talk: <\/strong>Keeping pace with the changing ocean: Harnessing AI for adaptive biodiversity monitoring
Short Description: <\/strong>Marine ecosystems are undergoing rapid transformations under combined climate and human pressures, yet biodiversity monitoring and data analysis often lag behind the pace of change. This talk explores how artificial intelligence can help close this gap by accelerating data processing and enabling near-real-time biodiversity monitoring at scales relevant for adaptive management, conservation, and policy decisions. Drawing on experience developing dedicated training datasets for coral-associated benthic organisms, Arctic phytoplankton and zooplankton, and Arctic fish, I will illustrate how AI-assisted image analysis, combined with environmental data, can dramatically expand the temporal and spatial coverage of ecological surveys. Beyond technological potential, the talk emphasizes the importance of understanding how AI works in scientific applications. Unlike generative AI, machine learning is the appropriate approach for biodiversity monitoring, but its reliability depend on model choice, training strategy, and data quality. AI does not replace ecological expertise; even the most sophisticated models remain constrained by the quality and representativeness of their training datasets. By bridging AI development with ecological understanding, we can harness AI as a robust tool to support faster, evidence-based responses to accelerating environmental change in a human-altered ocean.<\/p>\n\n\n\n

Speaker: <\/strong>Anastasiya Henk
Talk: <\/strong>Advanced AI applications for complex unstructured data sets: Examples from ECoC evaluations
Short Description: <\/strong>“Recent advances in AI offer powerful tools for analysing large-scale and unstructured cultural data, but they also raise challenges related to methodological rigour and transparency. This presentation shows how AI can support systematic sensemaking in complex cultural datasets, drawing on Monitor2024, an evaluation of the effects of Bod\u00f8 as European Capital of Culture 2024. The study combines large-scale media and social media material, including newspaper articles and user-generated content, to analyse public discourse, sentiment, themes, and cultural meaning-making. AI-assisted methods are integrated with continuous human interpretation: automated tools support content and sentiment analysis, thematic clustering, and discourse profiling, while human judgement ensures contextual understanding and validation. The presentation demonstrates how AI can reveal patterns across time, place, and platforms, and concludes by discussing implications for researchers, cultural institutions, and public-sector organisations seeking to use AI responsibly in studies of complex social and cultural phenomena.”<\/p>\n\n\n\n

Speaker: <\/strong>Anastasiya Henk
Talk: <\/strong>AI Literacy in the public sector organizations
Short Description: <\/strong>“As public organizations increasingly integrate artificial intelligence into their operations, a critical gap persists between technological ambition and employee competence. The EU AI Act (2024) intensifies this challenge by establishing AI literacy as a legal obligation for deploying organizations. Yet existing instruments remain inadequate, where most target general users or students, rely on self-reported measures, and lack validation for complex organizational environments. This study addresses these limitations through action research conducted in collaboration with two public organizations in the welfare and higher education sectors. We introduce a domain-specific AI literacy scale designed to meet the competence requirements of public sector employees operating within hierarchical and legally regulated contexts. The scale uniquely incorporates soft skills assessment, demonstrating the need for context-specific measures. The study aims to contribute in three ways: first, by presenting a validated scale co-developed with practitioners; second, by extending AI literacy measurement to include context-specific competencies; and third, by demonstrating how action research can serve as a methodological foundation for developing theoretically sound, operationally relevant competence instruments aligned with regulatory demands.”<\/p>\n\n\n\n

Speaker: <\/strong>Maka Suarez
Talk: <\/strong>Ethnographic writing in times of upheaval
Short Description: <\/strong>What makes ethnographic writing compelling and necessary, especially in moments of accelerated and inchoate change? By considering how writing and our relationship to text are being redefined by the advancement of Artificial Intelligence (AI) and Large Language Models (LLMs), this contribution examines what makes ethnographic writing a powerful approach for answering the big questions of our times. Some of the considerations include: what role (if any) is there for AI and LLMs in anthropological writing? What forms of experimentation open up\/close down in this new writing ecology? How will the impact of AI\/LLMs affect ethnographic writing beyond individual production?
The presentation will engage the audience with the intention to push, question, challenge, and activate each other towards a writing and theorizing that matters not just to anthropologists but increasingly to more expansive publics that include social scientists, policy makers, artists, activist communities, and the societies in which we live and with whom we work. In doing so, I hope to open a conversation on what makes ethnographic writing indispensable.<\/p>\n\n\n\n

Speaker: <\/strong>Charlotte Simone Elverum Hunt
Talk: <\/strong>Putting AI to work, are the tools fit for purpose. Reallusion’s AI generated Lip-syncing in the 3D animation pipeline
Short Description: <\/strong>The animation industry already uses AI and machine learning. For instance, most studios, including Pixar, instead of requiring their animators to meticulously craft every motion frame by frame, they have been utilising AI-driven tools for years to automatically create “tweening,” or the in-between frames of a motion. These AI tools are meant to streamline the production process while freeing up the animator to concentrate on the more intricate and creative parts of the animation. A number of AI tools have been launched to address different aspects of the animation process, all with the goal of increasing efficiency without sacrificing quality. One important area of the character animation process is lip-syncing. Poor dubbing or awful dialogue Synchronisation with lip movements has a significant impact on the quality of an animated performance and its believability. Reallusion’s Iclone 8 promotes its AI tool accuLIPS as an “efficient way to animate and edit facial expressions\u2026 For precise lip-syncing.” My current research has been exploring if this AI-driven 3D tool is fit for purpose now or if it has any potential in the future for a character animator.<\/p>\n\n\n\n

Speaker: <\/strong>H\u00e5vard Stranden
Talk: <\/strong>How AI moves and impacts Norwegian and global aquaculture
Short Description: <\/strong>The Norwegian seafood sector is the country\u2019s most rapid growing industry and trade sector. In 2025, the seafood sector represented more than 10% of Norwegian export, creating a trade surplus of more than 67 billion NOK. Global aquaculture supplies more than half of all consumed seafood meals on a daily basis. In this talk, we take a dive into the unique challenges and opportunities driving the aquaculture industry, and how AI is shaping the industry\u2019s future. We also look at the next frontiers where AI will drive change and progress.<\/p>\n\n\n\n

Speaker: <\/strong>S\u00f8gni Gjerl\u00f8w Sundb\u00f8
Talk: <\/strong>The VINST Alliance AI Collaboration: Background and Direction
Short Description: <\/strong>This 15-minute session provides a brief introduction to the AI collaboration within the VINST alliance. The presentation outlines what the collaboration is, the background for its establishment, and its potential relevance for staff in teaching, research, and administrative activities.
The session also presents the plans going forward, including the intended direction of the collaboration and how it is expected to support existing academic and professional practices.<\/p>\n\n\n\n

Speaker: <\/strong>Stef\u00e1n Freyr Gu\u00f0mundsson
Talk: <\/strong>AI Behind the Scenes at CCP Games
Short Description: <\/strong>At CCP Games, AI is used across many parts of how we build, operate, and understand our games. This includes internal workflows, analytics, prototyping, production systems, and live operations. Rather than treating AI as a standalone feature, we use it where it can practically support decision-making and creative work.
In analytics, we apply machine learning to understand and predict player behaviour, helping teams anticipate future outcomes. This work is complemented by natural-language tools that let teams query the data warehouse in plain English and get answers directly backed by production data.
AI is also used to speed up prototyping, making it easier to test ideas quickly and learn what works. In production, we are developing an AI Assistant for EVE Online and EVE Frontier, an in-game guide intended to help players, particularly new ones, find their way through some of the most complex virtual worlds in video gaming.<\/p>\n\n\n\n

Speaker: <\/strong>Roland van den Tillaar
Talk: <\/strong>The use of AI in handball
Short Description: <\/strong>AI is used in different ways in handball. In this presentation, some examples of how AI is used in developing tactical decisions based upon neural network in handball is presented and the use of machine learning to help monitoring throwing load during training and matches.<\/p>\n\n\n\n

Speaker: <\/strong>FOKUS
Talk: <\/strong>AI Machine learning and detailed match data reshaping football scouting
Short Description: <\/strong>In this lecture, FOKUS explains how today\u2019s increased access to football data has changed the way top clubs operate, both on and off the pitch. The session also looks ahead, outlining how data and technology are expected to influence recruitment, scouting, and decision-making processes in the coming years.<\/p>\n\n\n\n

Speaker: <\/strong>FOKUS & Kristian Schnell
Talk: <\/strong>AI Machine learning and detailed match data reshaping football scouting
Short Description: <\/strong>In this lecture, FOKUS explains how today\u2019s increased access to football data has changed the way top clubs operate, both on and off the pitch. The session also looks ahead, outlining how data and technology are expected to influence recruitment, scouting, and decision-making processes in the coming years.<\/p>\n\n\n\n

Speaker: <\/strong>Kari Ingstad
Talk: <\/strong>Artificial Intelligence and Shift Scheduling in the Health Sector \u2013 Opportunities and Limitations
Short Description: <\/strong>“The health sector faces significant workforce challenges, characterised by staff shortages, a high proportion of part-time employment, and increasing demands for efficient use of resources. At the same time, Norway experiences a shortage of healthcare personnel despite being among the countries with the highest proportion of health workers. Artificial intelligence (AI) may contribute to addressing these challenges by analysing and integrating large volumes of data, including patient needs, staff preferences, regulatory requirements, and absence patterns. This can help ensure the right staffing, in the right place, at the right time. However, AI also has clear limitations, as structural challenges, such as the widespread use of part-time work, must be addressed through cooperation between labour market partners.
In this presentation, Kari Ingstad discusses how AI-based shift scheduling can function as one of several measures to address workforce challenges in the health sector, and outlines the prerequisites for its responsible and appropriate use.”<\/p>\n\n\n\n

Speaker: <\/strong>Cristina Zoica Dumitru
Talk: <\/strong>AI, Art and Human Creativity
Short Description: <\/strong>“Cristina Zoica Dumitru explores AI as a creative partner rather than a replacement for human imagination. Drawing on her artistic and teaching practice, she examines how AI can extend visual storytelling and conceptual thinking while keeping artistic purpose firmly in human hands.
She shares examples from her own workflow, using the technology as a space for experimentation, reflection, and learning. Rather than outsourcing creativity, her approach emphasizes self-expression, decision-making, and critical thinking.
The talk invites artists and educators to see AI not as a shortcut, but as a system for deeper engagement with the artistic process, craft, and meaning. Ultimately, it argues for human-centered creativity in an AI-rich world, where technology should serve expression, not the other way around.”<\/p>\n\n\n\n

Speaker: <\/strong>Sofija Tosheva
Talk: <\/strong>AI-Supported Student Grading and Career Guidance 
Short Description: <\/strong>This presentation examines the use of artificial intelligence as a decision-support tool for student assessment and career guidance in secondary education. It presents AI-supported approaches to Moodle-based quiz design, scalable grading of digital assessments, and career advisory informed by interest inventories and RIASEC models. Emphasis is placed on formative assessment, learning analytics, and teacher control.<\/p>\n\n\n\n

Speaker: <\/strong>Keith Downing
Talk: <\/strong>Artificial Intelligence for Real People
Short Description: <\/strong>As a scientific field, Artificial Intelligence (AI) has existed for over 80 years, with steady progress throughout. However, public perception of AI has varied dramatically, depending upon the level of media engagement. Due to recent breakthroughs in neural network research, best exemplified by chat systems, almost everyone has felt the buzz of AI excitement, and the chill of AI’s threats. This lecture gives a brief history of the field, summarizes a few of the main methodologies, and then takes a deeper look at neural networks and chatbots, particularly from the perspectives of emergence and prediction, since these large language models (LLMs) are trained specifically for a simple predictive task (of the next word in a sequence) but have somehow acquired an emergent ability to solve complex problems; and they seem to “understand” a lot about the world — or do they? We will investigate this emergent intelligence and consider the short- and long-term consequences of AI progress as it relates to a wide variety of issues, including capitalism, international conflict, employment and the general cognitive welfare of our species.<\/p>\n\n\n\n

Speaker: <\/strong>Iris Thora Birgisd\u00f3ttir
Talk: <\/strong>A youth perspective on online violence in the age of AI: Iceland’s Digital Youth Ambassador on AI, deepfakes, digital rights, and youth experiences online.
Short Description: <\/strong>AI has become impossible to ignore. There is a reason it dominates our day-to-day dialogue, and that is because it is fundamentally changing the way we approach life. To many, it seems as though AI has emerged out of nowhere, capable of creating false narratives, pushing misinformation, threatening not only digital rights but broader human rights in its siege for power, but youths online have been exposed to this much longer than many realise. For many years now, AI has been embedded in algorithms, has been steering the way young people approach content online, and despite calls for action for many years, instead of tackling AI risks the issue was allowed to fester and has grown into what we see today. New issues, such as deepfakes, and increasing online violence and extremism have taken root in online spaces. As Iceland’s Digital Youth Ambassador, with a background in digital rights and AI safety, I offer an insight to this pressing issue from a youth perspective. I will dissect how this issue came to be, how it is affecting young people online, and most importantly, what solutions can be found.<\/p>\n\n\n\n

Speaker: <\/strong>Miriam Kl\u00f6pper
Talk: <\/strong>From Metrics to Mistakes \u2013 Navigating Risks of Algorithmic Workforce Management
Short Description: <\/strong>Algorithm-driven analyses have become a routine part of workforce management. Referred to as people analytics, this set of practices is based on the ongoing collection and analysis of employee data. The resulting analyses are increasingly used to support or even automate managerial decision-making, for instance in the assessment of performance or workforce planning. While people analytics is often presented as a means of increasing efficiency and objectivity, its use can be accompanied by human and organisational costs. By extending monitoring practices and intensifying the datafication of everyday work, it raises concerns about employee well-being, autonomy and privacy. At the same time, people analytics risks displacing forms of human judgement and interaction that have traditionally been central to leadership and management. As managerial decisions become increasingly mediated by algorithms, employees may thus begin to reassess what they expect from leaders and leadership. This keynote examines people analytics from a critical perspective, focusing on the assumptions embedded in these systems and on the risks they might pose to both employees and organisations. Understanding those risks is vital for establishing algorithmic workforce management practices that are in the interest of both organisations and employees.<\/p>\n\n\n\n

Speaker: <\/strong>Oddlaug M. Lindgaard og Line Kol\u00e5s
Workshop: <\/strong>How to Get Good Answers from AI? For Lower and Upper Secondary School Teachers
Short Description: <\/strong>AI can be a powerful tool, but it requires a well-crafted \u201cprompt.\u201d In this workshop, we will work with the \u201cPrompt Canvas,\u201d a research-based framework for learning how to formulate effective prompts. We will work hands-on with participants\u2019 own subjects and examples, exploring how different ways of phrasing a prompt affect the outcome. We will also look at how AI can support planning, learning materials, and student learning. This workshop gives you concrete skills in creating strong prompts for AI tools, as well as insight into how you can use them in subject teaching at the lower and upper secondary level.
You\u2019ll leave with:<\/strong>
– Practical skills in effective prompting
– Insight into how AI can support the teacher\u2019s role
– A methodology you can bring directly into the classroom
Bring:<\/strong> Laptop \/ tablet<\/p>\n\n\n\n

Speaker: <\/strong>Dr. Iv\u00e1n “Synpheros” Jos\u00e9 P\u00e9rez Colado
Workshop: <\/strong>Developing in the Age of AI: Tools for Code & UI
Short Description: <\/strong>A hands-on exploration of current AI-powered development environments. The workshop offers a practical perspective on integrating tools like Cursor and Antigravity into daily workflows. We showcase high-level prototyping with Figma Make and other app builders. The session includes specific training on prompt engineering to master code and interface generation.
You\u2019ll leave with:<\/strong>
– Practical skills in vive coding
– Insight into how transitioning from vive coded apps to production
Bring:<\/strong> Laptop<\/p>\n\n\n\n

Speaker: <\/strong>Martin Clancy
Talk: <\/strong>You Can Call Me HAL: How I Tried to Make AI OK
Short Description: <\/strong>This talk looks back on the unusual journey of trying to make \u201cAI OK\u201d in the world of music \u2014 a path that began with a PhD and the book The Artificial Intelligence and Music Ecosystem (2022), and now continues through its new edition (2026). Drawing on real encounters across studios, stages, and policy tables, I\u2019ll explore how music, more than any other art form, reveals what happens when technology meets creativity at scale. As Jacques Attali once suggested, music often foretells social change \u2014 and in watching how musicians grapple with AI, we can glimpse the future of all creative work. Told with a light touch and a few hard-won lessons, this is part story, part reflection on what it means to keep things \u201cOK\u201d when everything \u2014 and everyone \u2014 is learning to play with the machine<\/p>\n\n\n\n

Speaker: <\/strong>Chris Ronald Hermansen
Talk: <\/strong>The Newsroom of the Future: AI Innovation at TV2
Short Description: <\/strong>How do you turn AI experiments into real newsroom value? This session explores TV2 Norway’s practical approach to AI integration through experiments, competency building, and strategic implementation. Learn how TV2’s editorial innovation team has enabled “vibe coding” for non-programmers and used AI for investigative breakthroughs\u2014including comparing 900-page policy documents in minutes and analyzing court verdicts for breaking news. The presentation covers “liquid content” strategies for automatically transforming articles into video and social media, plus TV2’s sandbox approach to structured AI learning. Attendees will gain concrete examples of AI applications that have already produced award-winning journalism.<\/p>\n\n\n\n

Speaker: <\/strong>Chris Hart
Talk: <\/strong>What happened on Move 37?
Short Description: <\/strong>AlphaGo vs. Lee Sedol, Game 2 (2016). AlphaGo played a move that on later analysis showed it was deeply creative, flexible, and strategically brilliant. 10 years later Generative AI enables entirely new art forms, like interactive AI-driven narratives, immersive VR worlds, and AI-assisted installations. Artists can explore ideas that would have been impossible just a year ago.<\/p>\n\n\n\n

Speaker: <\/strong>Jakob Welner
Talk: <\/strong>Animating your way to robots
Short Description: <\/strong>My professional path began in computer animation, conveying intention and emotion in digital characters by shaping movement. Eventually, this work led me into the world of robotics, first by making them dance, then as a more integrated part of robot development. In this keynote, I reflect on that journey and what it has taught me.<\/p>\n\n\n\n

Speaker: <\/strong>Olivia Hansen
Talk: <\/strong>Stay in touch – keep it real
Short Description: <\/strong>Panic! It\u2019s not organic! What\u2019s the deal with the fear of AI? Is it the tool itself? Uneven distribution of ownership and influence? Which developmental consequences should concern us? Do we have the inner power and tools to prevent cognitive, physical, social and emotional decline? AI didn\u2019t appear out of nowhere. It\u2019s a brick in the digital \u2013 and artificial evolution created by real human intelligence. It emerges from the richness of our inherent capacities: the ability to feel, sense, and connect. Imagine, fantasize and disconnect. Philosophize, create, and reflect. Gardner\u2019s Theory of Multiple Intelligences enables a narrative that strengthens our awareness of the diversity of human intelligence. This session offers a short and engaging introduction to empowering human interaction through practical exercises. Be prepared to connect with the living people around you and to feel the strength of your inner real multimodal intelligence.<\/p>\n\n\n\n

Speaker: <\/strong>Carmen Stoian
Talk: <\/strong>The Influence of Technological Evolution on Youth Reading Habits. 
Short Description: <\/strong>This talk explores how technological evolution is reshaping young people\u2019s reading habits and what this means for their personal development. Drawing on research with participants aged 16 to 23, it examines preferred reading formats, the relationship between well-being and motivation to read, and the factors influencing these behaviours. The findings show that reading \u2014 including on digital platforms \u2014 plays an important role in supporting self-awareness, critical thinking, and emotional regulation. The talk argues for actively promoting reading as a way to strengthen resilience and personal identity in a technology-rich world.<\/p>\n\n\n\n

Speaker: <\/strong>Hans J\u00f8rgen St\u00f8p
Talk: <\/strong>Music, tools and AI
Short Description: <\/strong>This workshop explores the artistic implications of using the platform SUNO Studio as a creative tool in music-making. Through hands-on experimentation and collective discussion, participants will investigate how generative AI reshapes concepts of authorship, creativity, style, and collaboration. The session invites critical reflection on SUNO not just as a production aid, but as an active artistic agent, raising questions about originality, aesthetics, and the evolving relationship between human intention and machine-generated sound.<\/p>\n\n\n\n

Speaker: <\/strong>Guttorm Sindre
Talk: <\/strong>Self-paced mastery learning: Revival in the Age of GenAI?
Short Description: <\/strong>The emergence of GenAI has caused many teachers to return to the \u201csafe haven\u201d of supervised end-of-course exams, though this has many pedagogical disadvantages. Is there another way to be robust against AI-enabled cheating, yet also allow students to creatively use AI where appropriate? Mastery learning, e.g., Bloom\u2019s Learning for Mastery (LFM) and Keller\u2019s Personalized System of Instruction (PSI), had promising empirical results in the 1970\u2019s but then lost traction, much due to being labour-intensive on the teaching staff. Now, e-learning in general, and AI in particular, can ease many of these burdens, opening up for a revival of these learning designs. The workshop will start with a presentation of a current course using self-paced mastery learning inspired by PSI, explaining how the course uses a series of controlled tests (where the students cannot use AI) and a series of incremental deliveries of an individual project (where the students can use AI), and showing some results related to the students\u2019 high satisfaction with the course and potential AI usage. Although the course is in IT (introductory programming), the session is not limited to any specific discipline – PSI was invented by teachers of Psychology. Following the initial presentation, the workshop will turn to group discussions, targeting the following questions:
– What are advantages and disadvantages of self-paced mastery learning?
– (if you\u2019re a student) Could this be a viable approach in any course that I have taken?
– (if you\u2019re a teacher) Could this be a viable approach in any course that I am giving?
– How could a course in my discipline be redesigned in the direction of self-paced mastery learning, and how could the usage of Generative AI be addressed? You\u2019ll leave with:
\u2013 A clearer sense of challenges and opportunities related to self-paced mastery Learning
\u2013 Ideas on how self-paced mastery learning can offer an alternative assessment strategy, avoiding some of the disadvantages of the traditional end-of-course exam
\u2013 Thoughts on how a course in your own discipline might (or might not) employ self-paced mastery learning, and what role Generative AI might play in such a course.
Bring: <\/strong>Something to write on and with (pen, phone, laptop) \u2013 plus curiosity and eagerness to challenge and be challenged.<\/p>\n\n\n\n

Speaker: <\/strong>Guttorm Sindre
Talk: <\/strong>Self-Paced Mastery Learning: Combining Robustness Against and Learning With Generative AI
Short Description: <\/strong>With the advent of Generative AI, many university courses are turning back to the supervised end-of-course exam to avoid cheating. This presentation outlines a possibility to move in the opposite direction, presenting lessons learnt from an introductory programming course at the NTNU where there is no exam, nor specific deadlines for coursework during the semester. Instead, the course uses self-paced mastery learning where each student can choose their own pace and ambition level through a series of modules. Each module is assessed through a supervised test plus the delivery of an increment of an individual project work. The tests are done without AI, to ensure understanding of foundational concepts. In the project, students are allowed to use AI. The talk reports experiences from the course, and focuses specifically on how AI has been used in the course so far, and how the usage of AI could be further refined in the next offerings of the course. Although the specific course is in IT (introductory programming) the talk is meant to be of generic relevance, as there is nothing about self-paced mastery learning that restricts it to any particular discipline (early pioneering work on self-paced mastery learning in the 1960\u2019s was done in Psychology, and it has been tried in many different disciplines).<\/p>\n\n\n\n

Speaker: <\/strong>Lars Krogh Bjerresgaard Kyed
Talk: <\/strong>Embracing Creative Unpredictability: Introducing \u201cHappy Accidents\u201d into Animation Through Live\u2011Action Methods and AI
Short Description: <\/strong>Animation is traditionally a highly controlled creative process in which every element is carefully crafted, leaving little room for the spontaneous \u201chappy accidents\u201d that often enrich live\u2011action filmmaking. These unexpected moments can add depth, texture, and creative surprise\u2014qualities that animation workflows rarely produce on their own. This talk presents research exploring how animation filmmakers can incorporate methods from traditional live\u2011action production, combined with emerging AI\u2011driven tools, to deliberately reintroduce productive unpredictability into animated filmmaking. The aim is to develop workflows that enable creative spontaneity while preserving the director\u2019s full artistic control and intent.<\/p>\n\n\n\n

Speaker: <\/strong>Panel
Talk: <\/strong>When AI sees disease before we do \u2013 and reorganises the workday: diagnostic support and new routines in health care
Short Description: <\/strong>Artificial intelligence is already entering the health sector in two powerful ways: as a tool to detect disease earlier and more accurately, and as a way to organise work and shift patterns in smarter ways. In this session we bring these two sides together \u2013 and look honestly at what happens when new tools meet old systems.
We present concrete projects where AI helps clinicians spot subtle signs in images, signals and clinical data \u2013 supporting, not replacing, professional judgement. At the same time, we explore how AI starts to influence the \u201ceveryday logistics\u201d of health care: planning shifts and staffing, distributing workload, and redesigning work processes so that new tools actually create value instead of extra stress.
A key part of the discussion is what goes wrong when such tools are introduced: broken workflows, unclear responsibilities, lack of training, mistrust in the models, and the risk that promised efficiency gains simply turn into more clicks. Through talks and panel discussion with researchers and practitioners, we ask: What happens to clinical responsibility when AI enters diagnostics? How do algorithms change who works when and with whom? And what do nurses, doctors and social care professionals need to know in order to use AI for better decisions, a more sustainable workday and fewer failed implementation projects?<\/p>\n\n\n\n

Speaker: <\/strong>Viktor Popovic
Talk: <\/strong>Production-Grade AI in Games: where it helps, where it hurts, and how to implement it responsibly
Short Description: <\/strong>Games are a useful reality check for new technology, because we don\u2019t just build prototypes, we have to ship reliable, repeatable pipelines under real constraints. In this talk I\u2019ll walk through where these tools are already helping in day-to-day game development, and where they tend to create new problems.
On the practical side, there are clear wins in areas like documentation, planning, search across large knowledge bases, and supporting testing and triage. These are not glamorous use cases, but they can remove a lot of friction from production and help teams move faster with fewer mistakes. On the creative side, the most visible changes are in art pipelines: faster exploration in early concept phases, quick variations on mood and composition, and new ways to prototype motion and performances. That said, the most exciting demos often hide the hard parts: consistency over time, review and approval load, tool reliability, and questions around ownership and rights. In many cases the work doesn\u2019t disappear, it just shifts, and that can become the new bottleneck.<\/p>\n\n\n\n

Speaker: <\/strong>Panel: Talon Winsnes, Erik Johansen, Erik Johansen, Kaspar Rasmussen, Apostolos Spanos, Talon Winsnes and Tuva Christiansend
Talk: <\/strong>AI in Higher education panel
Short Description: <\/strong>Artificial intelligence is changing how students learn, how we evaluate knowledge, and what academic integrity should mean in practice. In this panel, we zoom in on the real governance questions universities now face: What should exams and assessments look like when AI tools are everywhere? How do we protect trust and fairness without freezing innovation? And how can higher education adapt responsibly\u2014strategically, ethically, and institutionally?<\/p>\n\n\n\n

Speaker: <\/strong>Troels Linde
Talk: <\/strong>Digitalisation of film production meets AI: “concepts of a plan
Short Description: <\/strong>Traditional film production is increasingly digitalised. The familiar pipeline of development, pre-production, shoot, post, and going-to-market is changing as more everyday routines become digital. Real-time virtual workflows and digital collaboration create more practical interfaces for digital film production to connect with AI. This leads to better-structured materials, faster iteration, and clearer traceability of production decisions, costs, and creative output.
At the same time, these overlaps between digital film production and AI feel like a fast-moving channel, with currents changing almost daily. That\u2019s why the talk is framed as \u201cconcepts of a plan\u201d rather than a finished blueprint. It\u2019ll focus on early exploration of the map, not on providing final routes. It considers what seems clear today, what remains uncertain, and what might surprise us. The through-line is to protect intellectual property, preserve artistic control, and promote new skills for new jobs, so we retain the people whose experience, artistic intent, and sensibility make film worth watching and making.<\/p>\n\n\n\n

Speaker: <\/strong>
Talk: <\/strong>
Short Description: <\/strong><\/p>\n\n\n\n

<\/p>\n\n\n\n

<\/p>\n","protected":false},"excerpt":{"rendered":"

Note: Monday is only Online. Tuesday, Wednesday and Thursday is only on Campus (Levanger) Online, Monday February 9thSe jump links below ————————————————–09:00-15:45: \u25be Stream 1 \u25be ————————————————–12:45-14:00: \u25be Stream 2 \u25be On Campus, February 10th-12thSe jump links below \u25be Tuesday \u25be \u25be Wednesday \u25be \u25be Thursday \u25be Monday, February 9th – Online Stream 1Zoom link … <\/p>\n","protected":false},"author":151,"featured_media":0,"parent":0,"menu_order":2,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"coauthors":[3],"class_list":["post-10","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/site.nord.no\/now\/index.php?rest_route=\/wp\/v2\/pages\/10","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/site.nord.no\/now\/index.php?rest_route=\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/site.nord.no\/now\/index.php?rest_route=\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/site.nord.no\/now\/index.php?rest_route=\/wp\/v2\/users\/151"}],"replies":[{"embeddable":true,"href":"https:\/\/site.nord.no\/now\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=10"}],"version-history":[{"count":431,"href":"https:\/\/site.nord.no\/now\/index.php?rest_route=\/wp\/v2\/pages\/10\/revisions"}],"predecessor-version":[{"id":1216,"href":"https:\/\/site.nord.no\/now\/index.php?rest_route=\/wp\/v2\/pages\/10\/revisions\/1216"}],"wp:attachment":[{"href":"https:\/\/site.nord.no\/now\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=10"}],"wp:term":[{"taxonomy":"author","embeddable":true,"href":"https:\/\/site.nord.no\/now\/index.php?rest_route=%2Fwp%2Fv2%2Fcoauthors&post=10"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}