On Good AI Governance : 14 Priority Actions, a S.M.A.R.T. Model of Governance, and a Regulatory Toolbox
| Autor: | Pagallo, Ugo, Aurucci, Paola, Casanovas, Pompeu, Chatila, Raja, Chazerand, Patrice, Dignum, Virginia, Luetge, Christoph, Madelin, Robert, Schafer, Burkhard, Valcke, Peggy |
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| Rok vydání: | 2019 |
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| Zdroj: | Dipòsit Digital de Documents de la UAB Universitat Autònoma de Barcelona |
| Popis: | AI4People's second year of activities has focused on applying - concretely, in real world scenarios and through appropriate governance - those ethical principles of AI announced by AI4People in 2018. The 2019 White Paper gives shape to - whilst establishing priorities and critical issues - 14 Priority Actions, a Model of S.M.A.R.T. Governance and a Regulatory Toolbox, to which governments and businesses alike can refer to - immediately and efficiently. To conceive the aforementioned, we examine current initiatives and debates on the governance of AI, and consequently provide: - A definition of the notion of governance and the principles that are at stake in this context - 14 Priority Actions that can be undertaken immediately, existing within three new groups of priority: (i) forms of engagement; (ii) no-regrets actions; and (iii) coordination mechanisms for the governance of AI - A S.M.A.R.T. Model of Governance, for both governments and businesses, adequate for tackling the normative challenges of AI, while being Scalable, Modular, Adaptable, Reflexive, and Technologically-savvy. We call for specific forms of governance that are neither bottom-up, nor top-down, but that are inbetween, and argue that neither co-regulatory models of AI governance - nor forms of self-regulation, nor its variants, such as 'monitored self-regulation' - are adequate - A Regulatory Toolbox, illustrating how the model of S.M.A.R.T. governance works. |
| Databáze: | OpenAIRE |
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