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A Path for Science- and Evidence-based AI Policy

understanding-ai-safety.org · 1,799 words · saved by 1 readers

Rishi Bommasani†1, Sanjeev Arora3, Yejin Choi4, Li Fei‑Fei1, Daniel E. Ho1, Dan Jurafsky1, Sanmi Koyejo1, Hima Lakkaraju5, Arvind Narayanan3, Alondra Nelson6, Emma Pierson7, Joelle Pineau8, Gaël Varoquaux9, Suresh Venkatasubramanian10, Ion Stoica2, Percy Liang1, Dawn Song†2 1Stanford University 2UC Berkeley 3Princeton University 4University of Washington 5Harvard University 6Institute for Advanced Study 7Cornell University 8McGill University 9INRIA 10Brown University *Several authors have unlisted affiliations in addition to their listed university affiliation. This piece solely reflects the authors' personal views and not those of any affiliated organizations, including the listed universities. Overview: AI is a powerful technology that carries both benefits and risks. We wish to promote innovation to ensure its potential benefits are responsibly realized and widely shared, while simultaneously ensuring that current and potential societal risks are mitigated. To address the growing so

A Path for Science- and Evidence-based AI Policy --> --> A Path for Science‑ and Evidence‑based AI Policy Rishi Bommasani †1 , Sanjeev Arora 3 , Yejin Choi 4 , Li Fei‑Fei 1 , Daniel E. Ho 1 , Dan Jurafsky 1 , Sanmi Koyejo 1 , Hima Lakkaraju 5 , Arvind Narayanan 3 , Alondra Nelson 6 , Emma Pierson 7 , Joelle Pineau 8 , Gaël Varoquaux 9 , Suresh Venkatasubramanian 10 , Ion Stoica 2 , Percy Liang 1 , Dawn Song †2 1 Stanford University 2 UC Berkeley 3 Princeton University 4 University of Washington 5 Harvard University 6 Institute for Advanced Study 7 Cornell University 8 McGill

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