Date: 2019
Type: Other
AI governance post-GDPR : lessons learned and the road ahead
STG Policy Briefs, 2019/07
KUZIEMSKI, Maciej, PALKA, Przemyslaw, AI governance post-GDPR : lessons learned and the road ahead, STG Policy Briefs, 2019/07 - https://hdl.handle.net/1814/64146
Retrieved from Cadmus, EUI Research Repository
Recent breakthroughs in the development of Artificial Intelligence (AI) have initiated heated debates regarding its governance. As of today, the success of AI relies on machine learning – the ability of algorithms to learn from, and find patterns in, large amounts of data. Consequently, governance of AI will in practice mean policies regarding both the design and access to algorithms, as well as collection and usage of information. Regarding the latter, the European Union (EU) has put in place a comprehensive normative framework: the General Data Protection Regulation (GDPR)1, applicable since 25 May 2018. Based on the discussion that took place during the School of Transnational Governance’s High-Level Policy Dialogue on 26 June 2018, we present three actionable recommendations for global and local policymakers
coming to grasp with the questions of AI Governance
Cadmus permanent link: https://hdl.handle.net/1814/64146
Full-text via DOI: 10.2870/470055
ISBN: 9789290847724
ISSN: 2599-5928
Series/Number: STG Policy Briefs; 2019/07
Publisher: European University Institute
Other topic(s): CoFoE Digital transformation
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