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AbstractArtificial intelligence (AI) governance is required to reap the benefits and manage the risks brought by AI systems. This means that ethical principles, such as fairness, need to be translated into practicable AI governance processes. A concise AI governance definition would allow researchers and practitioners to identify the constituent parts of the complex problem of translating AI ethics into practice. However, there have been few efforts to define AI governance thus far. To bridge this gap, this paper defines AI governance at the organizational level. Moreover, we delineate how AI governance enters into a governance landscape with numerous governance areas, such as corporate governance, information technology (IT) governance, and data governance. Therefore, we position AI governance as part of an organization's governance structure in relation to these existing governance areas. Our definition and positioning of organizational AI governance paves the way for crafting AI governance frameworks and offers a stepping stone on the pathway toward governed AI.

European Commission President Ursula Von der Leyen has stated* that 'digital technologies should enrich the lives of us all and respect European values'. With EU values at the heart of the digital transition, the EU has started an ambitious Data Governance Reform. It has proposed legislation that, on top of existing legislation, such as the GDPR, combined ensure: - stronger privacy rules for electronic communications, - a safe and proper functioning Digital Single Market, - fair, contestable and open markets for digital services, - data altruism and reuse of public sector data - an ecosystem of trust to create EU global leadership on trustworthy AI The infographic lists proposed legislation combined with relevant existing directives. * Source: Shaping Europe's Digital Future, February 2020. https://ec.europa.eu/info/sites/default/files/communication-shaping-europes-digital-future-feb2020_en_4.pdf