Area | Storsalen |
Organizer | ISFiT
ISFiT (ISFiT)
|
Date | 20. March |
Time | 16:00 - 18:00 |
Ticket | Free entrance |
Age limit | 18 years |
ISFiT presents: Finding Power - Future With AI
How do we prepare for a world that nobody knows what will look like? What will the power structures look like, and will they really be that alien from current power dynamics? What do we know about the true potential of this emerging technology, and what difference will it make whether the USA or China develops it first?
These are the questions we will explore in the debate Finding Power - The Future with AI, where the aim is to get past the “We don’t know” dead-end and find what questions we really need answers to.
Insights from politics, technology, social studies and philosophy will come together to demystify and explore daringly: the future with AI.
Dr. Christina Jayne Colclough
Widely regarded as a thought leader on the futures of work(ers) and the politics of digital technology, Colclough (PhD) is an advocate for the workers’ voice. She founded “The Why Not Lab” with the aim to reshape the current digitalisation trajectory, so human rights, freedoms and autonomy are respected and protected. Colclough’s background is in labour market research and in the global labour movement. She was the author of the union movement's first principles on Workers' Data Rights and the Ethics of AI. Christina is a Fellow of the Royal Society of Arts in the UK and member of the UNESCO #Women4EthicalAI Platform, the OECD One AI Expert Group and is affiliated to FAOS, the Employment Relations Research Center at Copenhagen University. In 2021, Coclough was a member of the Steering Committee of the Global Partnership on AI (GPAI).
Anders Eidesvik
Anders is an advisor at Langsikt, where he works on developing analyses and policies for AI. He holds a bachelor's degree in Politics, Philosophy, and Economics from the University of Exeter and has worked as a journalist for the past three years, including for Klassekampen, Dagens Næringsliv, and NRK. There, he wrote extensively about economics, energy, climate, and AI. In 2022, he worked on the sustainability team at the Norwegian UN delegation in New York during Norway's term as a member of the Security Council.
Dr. Hans Jørgen Gåsemyr
Hans Jørgen Gåsemyr (PhD) is a senior researcher at the Norwegian Institute of International Affairs (NUPI). His background includes social science and Chinese language and area studies from Norwegian and Chinese universities. His MA and PhD degrees are in Political Science. Gåsemyr has previously worked for the UN in Beijing, and he has experience from national broadcasting. His research is concentrated on Chinese domestic and international politics, with an emphasis on organizations and changing conditions for interaction in political, economic, knowledge- and technology-related domains. Gåsemyr currently leads the project “China and Evolving Multilateral Craftsmanship in the Age of Digitalization”, funded by the Research Council of Norway. Gåsemyr’s project and publication activities are listed in his NUPI profile page and CV, and in the CRISTIN research portal.
Dr. Jenia Jitsev
Dr. Jenia Jitsev is computer scientist, neuroscientist and machine learning researcher, who is scientific lead and co-founder of LAION (Large-Scale Artificial Intelligence Open Network, https://laion.ai/), a German non-profit research organization committed to collaborative open science around large-scale foundation models and datasets that are essential for the field of machine learning and AI. He also leads Scalable Learning and Multi-Purpose AI Lab at Juelich Supercomputing Center, Helmholtz Association, Germany. By uniting acknowledged researchers from various labs to conduct large-scale machine learning experiments and securing research grants on publicly funded supercomputers, he works on turning public supercomputing facilities into hubs for open-source community to study large-scale open foundation models and datasets. Work culminating from these efforts resulted in NeurIPS Outstanding Paper Award 2022 and Falling Walls Scientific Breakthrough 2023 Award, finding broad recognition from the research community and resulting in numerous follow up works and open-source releases building on top of these works.
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