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Recommendations on the EU Commission’s White Paper on AI | Stanford HAI
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policyResponse to Request

Recommendations on the EU Commission’s White Paper on AI

Date
June 15, 2020
Topics
Regulation, Policy, Governance
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abstract

In this paper, a multi-disciplinary group of Stanford students and contributors led by HAI Policy Fellow Marietje Schaake share policy recommendations with the EU Commission regarding a European approach to regulating AI, as laid out in its White Paper on AI.

Executive Summary

In our response to the White Paper “On Artificial Intelligence – A European approach to excellence and trust,” we sought to reflect on overarching themes and gaps illuminated by the white paper, to bring attention to potential second and third order effects and guide policymakers toward concrete steps to take in the months and years ahead. As a multidisciplinary group of academics, military members, technical and policy wonks, we had a diverse group of expertise contributing to each of the sections below. We begin with a focus on risk and governance for AI in a broad sense, pivot to the known unknowns related to jobs and the AI-enabled economy, and end by outlining a few items categorized as unknown unknowns for the future of AI in the EU. Below is a table preceding our analysis, highlighting the specific recommendations as they appear throughout each section. We hope these reflections and recommendations help to bolster the EU’s initiatives on artificial intelligence.

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Authors
  • Marietje Schaake
    Marietje Schaake

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