research & policy
We regularly participate in the wider research and policy community through research collaborations, publications and expert consultation work. Have a research topic you’d like to explore together? Feel free to reach out via info@papermoon.ai.
Paper: AI risk assessment at scale
Paper in collaboration with Spotify researchers
Rolling out algorithmic policy and doing Algorithmic Impact Assessments at scale brings practical challenges. This paper describes what happens when performing impact assessments across 100+ AI-systems and models. It analyzes what worked, and what didn’t, in creating policy, assessing risk and creating clarity across teams.
Amar Ashar, Karim Ginena, Maria Cipollone, Renata Barreto, Henriette Cramer, Algorithmic Impact Assessments at Scale: Practitioners’ Challenges and Needs, Journal of Online Trust & Safety, 2024. pdf
Paper: Generative AI & information retrieval
Paper in collaboration with Microsoft researcher
The overlap between Generative AI and information access leads to new challenges. This deepdive paper outlines potential risks and impact of when GenAI systems are used for information access and what can be learnt from traditional search and recommendations research.
Bhaskar Mitra, Henriette Cramer, Olya Gurevich, Sociotechnical Implications of Generative Artificial Intelligence for Information Access, Chapter, Generative Information Retrieval, 2024. pdf.
participation: Nordic Ethical AI Expert Group
Invited expert participation
The Nordic Ethical AI Expert Group, established as an initiative by Nordic Innovation, the innovation organization under Nordic Council of Ministers, developed strategic recommendations to overcome main barriers and harness AI's potential in the Nordics. Henriette Cramer PaperMoon was one of the invited experts on in the expert group.
Nordic Innovation, Nordic Ethical AI Expert Group, Policy Recommendations for Ethical and Responsible AI, June 2024, report