AI4People - An Ethical Framework for a Good AI Society: Opportunities, Risks, Principles, and Recommendations
Forthcoming in Minds and Machines, December 2018
24 Pages
Posted: 7 Dec 2018
See all articles by Luciano FloridiUniversity of Oxford - Oxford Internet Institute
University of Oxford - Oxford Internet Institute
Naver Labs Europe
French National Center of Scientific Research
Digital Europe
University of Umea; Delft University of Technology - Delft Design for Values Institute
Technische Universität München (TUM) - School of Governance - Hochschule für Politik
University of Oxford - Centre for Technology and Global Affairs
University of Turin, Department of Law
University of Padova
University of Edinburgh - School of Law
KU Leuven - Centre for IT & IP Law (CiTiP); European University Institute - Robert Schuman Centre for Advanced Studies (RSCAS); Bocconi University Milan
ETH Zurich
Date Written: November 6, 2018
Abstract
This article reports the findings of AI4People, an Atomium – EISMD initiative designed to lay the foundations for a “Good AI Society”. We introduce the core opportunities and risks of AI for society; present a synthesis of five ethical principles that should undergird its development and adoption; and offer 20 concrete recommendations – to assess, to develop, to incentivise, and to support good AI – which in some cases may be undertaken directly by national or supranational policy makers, while in others may be led by other stakeholders. If adopted, these recommendations would serve as a firm foundation for the establishment of a Good AI Society.
Keywords: Artificial Intelligence, Ethics, Recommendations
Suggested Citation:
Suggested Citation
Floridi, Luciano and Cowls, Josh and Beltrametti, Monica and Chatila, Raja and Chazerand, Patrice and Dignum, Virginia and Luetge, Christoph and Madelin, Robert and Pagallo, Ugo and Rossi, Francesca and Schafer, Burkhard and Valcke, Peggy and Vayena, Effy, AI4People - An Ethical Framework for a Good AI Society: Opportunities, Risks, Principles, and Recommendations (November 6, 2018). Forthcoming in Minds and Machines, December 2018. Available at SSRN:
https://ssrn.com/abstract=3284141