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Browsing Social Science by Author "Barocas, Solon"
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- Some of the metrics are blocked by yourconsent settingsRecommendations to the US Department of Commerce National Telecommunications and Information Administration on Dual-Use, Open-Weight Foundation AI Models(2024-03)
;Nelson, Alondra ;Trask, Andrew ;Garfinkel, Ben ;Custis, Christine ;Hendrycks, Dan ;Ganguli, Deep ;Chou, Dorothy ;Toner, Helen ;Solaiman, Irene ;Tallinn, Jaan ;Haven, Janet ;Aidinoff, Marc ;Schaake, Marietje ;Salganik, Matthew ;Bogen, Miranda ;Lambert, Nathan ;Bommasani, Rishi ;Krier, Sébastien ;Barocas, Solon ;Ifayemi, Stephanie ;Venkatasubramanian, Suresh ;Isaac, WilliamBrammer, ZoëComment of the AI Policy and Governance Working Group on the NTIA Request for Comment on Dual Use Foundation Artificial Intelligence Models with Widely Available Model Weights Docket NTIA-240216-0052 The AI Policy and Governance Working Group recommends that the Biden-Harris Administration call for the development of a range of practical approaches to open foundation model release with accompanying case studies and pilot studies developed with relevant stakeholders.5 1 - Some of the metrics are blocked by yourconsent settingsRecommendations to the US Department of Commerce National Telecommunications and Information Administration on Policy for AI Accountability(2023-06)
;Nelson, Alondra ;Maniam, Aaron ;Garfinkel, Ben ;Christian, Brian ;Ho, Daniel E. ;Chou, Dorothy ;Toner, Helen ;Raji, Inioluwa Deborah ;Solaiman, Irene ;Phillips, James W. ;Perset, Karine ;Aidinoff, Marc ;Botvinick, Matthew ;Salganik. Matthew J. ;Chowdhury, Rumman ;Bowman, Samuel R. ;Krier, Sebastien ;Barocas, Solon ;Friedler, Sorelle ;Ifayemi, StephanieIsaac, William S.Comment of the AI Policy and Governance Working Group on the NTIA AI Accountability Policy Request for Comment Docket NTIA-230407-0093 In response to the National Telecommunications and Information Administration’s (NTIA) request for comment on AI accountability policy, the AI Policy and Governance Working Group here provides 1) overarching considerations, both to offer context for our specific recommendations and to help inform federal AI policy strategy, and 2) recommendations for sociotechnical AI accountability mechanisms based on evaluation, access, and disclosure that can begin to build justified public trust in AI as an essential predicate to adequately and effectively “aligning” these technological systems and tools with democratic and human values.8 3 - Some of the metrics are blocked by yourconsent settingsTen Simple Rules for Responsible Big Data Research(PLOS Computational Biology, 2017-03-30)
;Zook, Matthew ;Barocas, Solon ;boyd, danah ;Crawford, Kate ;Keller, Emily ;Peña Gangadharan, Seeta ;Goodman, Alyssa ;Hollander, Rachelle ;Koenig, Barbara A. ;Metcalf, Jacob ;Narayanan, Arvind ;Nelson, AlondraPasquale, Frank14 51