TY - BOOK
T1 - Roadmap for AI Policy Research
AU - Dignum, Virginia
AU - Régis, Catherine
AU - Bach, Kerstin
AU - Buijsman, Stefan
AU - P. L. F. de Carvalho, André
AU - Castellano, Ginevra
AU - Dignum, Frank
AU - Farries, Elizabeth
AU - Giannotti, Fosca
AU - Anh Han, The
AU - Helberger, Natali
AU - Hellegren, Isadora
AU - Houben, Geert-Jan
AU - Jahn, Anna
AU - Joshi, Somya
AU - Lamine Sarr, Mamadou
AU - Lewis, Dave
AU - Lind, Anna-Sara
AU - Lugangira, Neema
AU - Gorete Silva Moniz, Helena
AU - Naudts, Laurens
AU - Moussa Ndiaye, Seydina
AU - Palma, Julia
AU - Pedreschi, Dino
AU - Sawhney, Nitin
AU - Spaargaren, Sara
AU - Tong, Nicole
AU - Tucker, Jason Edward
AU - Tsoi, Edward
AU - Bourgine de Meder, Ysaline
N1 - Report developed from consultations at the AI Policy Research Summit, Stockholm, November 2024.
PY - 2025/1/9
Y1 - 2025/1/9
N2 - This roadmap, developed through collaborative discussions at the recent AI PolicyResearch Summit, reflects a shared vision for advancing research on responsibleAI policy and governance. It emphasizes the critical role of policy research inensuring that AI development is guided by robust evidence, ethicalconsiderations, and a commitment to sustainability and inclusivity. By prioritizingtransparency, accountability, and the well-being of humans and the planet, thisroadmap highlights how research can inform global approaches to AI governance,addressing complex societal needs and ethical challenges. It serves as a guidingframework for stakeholders across academia, industry, government, and civilsociety to collaborate in generating actionable insights and evidence-basedstrategies, noting that while evidence-based AI policy often draws on data-drivenresearch, it equally values critical theoretical insights and fundamental rightsapproaches, ensuring a holistic understanding that extends beyond the purelyquantifiable
AB - This roadmap, developed through collaborative discussions at the recent AI PolicyResearch Summit, reflects a shared vision for advancing research on responsibleAI policy and governance. It emphasizes the critical role of policy research inensuring that AI development is guided by robust evidence, ethicalconsiderations, and a commitment to sustainability and inclusivity. By prioritizingtransparency, accountability, and the well-being of humans and the planet, thisroadmap highlights how research can inform global approaches to AI governance,addressing complex societal needs and ethical challenges. It serves as a guidingframework for stakeholders across academia, industry, government, and civilsociety to collaborate in generating actionable insights and evidence-basedstrategies, noting that while evidence-based AI policy often draws on data-drivenresearch, it equally values critical theoretical insights and fundamental rightsapproaches, ensuring a holistic understanding that extends beyond the purelyquantifiable
KW - Artificial Intelligence (AI)
KW - Responsible
KW - Policy
KW - Research
M3 - Commissioned report
BT - Roadmap for AI Policy Research
PB - Umeå University
ER -