CEU Electronic Theses and Dissertations, 2020
| Author | Grassi, Valentino |
|---|---|
| Title | A Policy-First Approach to AI Development: A structured comparison of three key strategies |
| Summary | This dissertation tries to question the relevance and effectiveness of the most influential national strategies for Artificial Intelligence (AI) development. The rising number of official plans and visions published by public institutions signals dynamic and flourishing policymaking activities surrounding the sector of digital technologies, for a long time devoid of consistent regulations. Increased policy activity however must correspond to exhaustive provisions and a comprehensive understanding of all the actors involved in the process of delivering AI products. This thesis analyses the underlying logics sustaining the three different strategies and the subsequent regulatory frameworks provided, matching these factors with the structural capabilities of each state. It then supports this study by running a policy evaluation scheme, based on criteria of coherence, comprehensiveness, and human-centredness to assess their effectiveness and feasibility. By applying a policy-first research approach, the dissertation concludes by offering policy recommendations to improve the scope of AI strategies, finding a balance between regulation and innovation. |
| Supervisor | Ashraf, Cameran; Gallego, Aina |
| Department | Public Policy MA |
| Full text | https://www.etd.ceu.edu/2020/grassi_valentino.pdf |
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