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Roadmap for AI Policy Research

Dignum, Virginia ; Régis, Catherine ; Bach, Kerstin ; Buijsman, Stefan ; P. L. F. de Carvalho, André ; Castellano, Ginevra ; Dignum, Frank ; Farries, Elizabeth ; Giannotti, Fosca and Anh Han, The , et al. (2025)
Abstract
This roadmap, developed through collaborative discussions at the recent AI Policy
Research Summit, reflects a shared vision for advancing research on responsible
AI policy and governance. It emphasizes the critical role of policy research in
ensuring that AI development is guided by robust evidence, ethical
considerations, and a commitment to sustainability and inclusivity. By prioritizing
transparency, accountability, and the well-being of humans and the planet, this
roadmap highlights how research can inform global approaches to AI governance,
addressing complex societal needs and ethical challenges. It serves as a guiding
framework for stakeholders across academia, industry, government, and... (More)
This roadmap, developed through collaborative discussions at the recent AI Policy
Research Summit, reflects a shared vision for advancing research on responsible
AI policy and governance. It emphasizes the critical role of policy research in
ensuring that AI development is guided by robust evidence, ethical
considerations, and a commitment to sustainability and inclusivity. By prioritizing
transparency, accountability, and the well-being of humans and the planet, this
roadmap highlights how research can inform global approaches to AI governance,
addressing complex societal needs and ethical challenges. It serves as a guiding
framework for stakeholders across academia, industry, government, and civil
society to collaborate in generating actionable insights and evidence-based
strategies, noting that while evidence-based AI policy often draws on data-driven
research, it equally values critical theoretical insights and fundamental rights
approaches, ensuring a holistic understanding that extends beyond the purely
quantifiable (Less)
Please use this url to cite or link to this publication:
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organization
publishing date
type
Book/Report
publication status
published
subject
keywords
Artificial Intelligence (AI), Responsible, Policy, Research
pages
10 pages
publisher
AI Policy Lab @ Umeå University and MILA - Quebec Artificial Intelligence Institute.
project
Politics of AI & Health: From Snake Oil to Social Good - Funded by Wallenberg AI, Autonomous Systems and Software Program – Humanity and Society (WASP-HS)
language
English
LU publication?
yes
additional info
Report developed from consultations at the AI Policy Research Summit, Stockholm, November 2024.
id
2ed1602a-06f1-4ab8-ad27-0bb65afa3b0a
date added to LUP
2025-02-10 12:33:04
date last changed
2025-04-04 14:07:46
@techreport{2ed1602a-06f1-4ab8-ad27-0bb65afa3b0a,
  abstract     = {{This roadmap, developed through collaborative discussions at the recent AI Policy<br/>Research Summit, reflects a shared vision for advancing research on responsible<br/>AI policy and governance. It emphasizes the critical role of policy research in<br/>ensuring that AI development is guided by robust evidence, ethical<br/>considerations, and a commitment to sustainability and inclusivity. By prioritizing<br/>transparency, accountability, and the well-being of humans and the planet, this<br/>roadmap highlights how research can inform global approaches to AI governance,<br/>addressing complex societal needs and ethical challenges. It serves as a guiding<br/>framework for stakeholders across academia, industry, government, and civil<br/>society to collaborate in generating actionable insights and evidence-based<br/>strategies, noting that while evidence-based AI policy often draws on data-driven<br/>research, it equally values critical theoretical insights and fundamental rights<br/>approaches, ensuring a holistic understanding that extends beyond the purely<br/>quantifiable}},
  author       = {{Dignum, Virginia and Régis, Catherine and Bach, Kerstin and Buijsman, Stefan and P. L. F. de Carvalho, André and Castellano, Ginevra and Dignum, Frank and Farries, Elizabeth and Giannotti, Fosca and Anh Han, The and Helberger, Natali and Hellegren, Isadora and Houben, Geert-Jan and Jahn, Anna and Joshi, Somya and Lamine Sarr, Mamadou and Lewis, Dave and Lind, Anna-Sara and Lugangira, Neema and Gorete Silva Moniz, Helena and Naudts, Laurens and Moussa Ndiaye, Seydina and Palma, Julia and Pedreschi, Dino and Sawhney, Nitin and Spaargaren, Sara and Tong, Nicole and Tucker, Jason Edward and Tsoi, Edward and Bourgine de Meder, Ysaline}},
  institution  = {{AI Policy Lab @ Umeå University and MILA - Quebec Artificial Intelligence Institute.}},
  keywords     = {{Artificial Intelligence (AI); Responsible; Policy; Research}},
  language     = {{eng}},
  month        = {{01}},
  title        = {{Roadmap for AI Policy Research}},
  url          = {{https://lup.lub.lu.se/search/files/208130441/Roadmap_for_AI_Policy_Research.pdf}},
  year         = {{2025}},
}