Principled Artificial Intelligence: Mapping Consensus in Ethical and Rights-Based Approaches to Principles for AI

39 Pages Posted: 14 Feb 2020

See all articles by Jessica Fjeld

Jessica Fjeld

Berkman Klein Center for Internet & Society

Nele Achten

Harvard Law School; University of Exeter, School of Law, Students

Hannah Hilligoss

Harvard University, Law School, Students ; Harvard University - Berkman Klein Center for Internet & Society

Adam Nagy

Harvard University - Berkman Klein Center for Internet & Society

Madhulika Srikumar

Harvard University, Law School, Students

Date Written: January 15, 2020

Abstract

The rapid spread of artificial intelligence (AI) systems has precipitated a rise in ethical and human rights-based frameworks intended to guide the development and use of these technologies. Despite the proliferation of these "AI principles," there has been little scholarly focus on understanding these efforts either individually or as contextualized within an expanding universe of principles with discernible trends.

To that end, this white paper and its associated data visualization compare the contents of thirty-six prominent AI principles documents side-by-side. This effort uncovered a growing consensus around eight key thematic trends: privacy, accountability, safety and security, transparency and explainability, fairness and non-discrimination, human control of technology, professional responsibility, and promotion of human values. Underlying this “normative core,” our analysis examined the forty-seven individual principles that make up the themes, detailing notable similarities and differences in interpretation found across the documents. In sharing these observations, it is our hope that policymakers, advocates, scholars, and others working to maximize the benefits and minimize the harms of AI will be better positioned to build on existing efforts and to push the fractured, global conversation on the future of AI toward consensus.

Suggested Citation

Fjeld, Jessica and Achten, Nele and Hilligoss, Hannah and Nagy, Adam and Srikumar, Madhulika, Principled Artificial Intelligence: Mapping Consensus in Ethical and Rights-Based Approaches to Principles for AI (January 15, 2020). Berkman Klein Center Research Publication No. 2020-1, Available at SSRN: https://ssrn.com/abstract=3518482 or http://dx.doi.org/10.2139/ssrn.3518482

Jessica Fjeld (Contact Author)

Berkman Klein Center for Internet & Society ( email )

Harvard Law School
23 Everett, 2nd Floor
Cambridge, MA 02138
United States

Nele Achten

Harvard Law School ( email )

501, Pound,Massachusetts Avenue
Cambridge, MA 02138
United States

University of Exeter, School of Law, Students ( email )

Exeter, EX4 4QJ
United Kingdom

Hannah Hilligoss

Harvard University, Law School, Students ( email )

1563 Massachusetts Avenue
Cambridge, MA 02138
United States

Harvard University - Berkman Klein Center for Internet & Society ( email )

Harvard Law School
23 Everett, 2nd Floor
Cambridge, MA 02138
United States

Adam Nagy

Harvard University - Berkman Klein Center for Internet & Society ( email )

Harvard Law School
23 Everett, 2nd Floor
Cambridge, MA 02138
United States

Madhulika Srikumar

Harvard University, Law School, Students ( email )

1563 Massachusetts Avenue
Cambridge, MA 02138
United States

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