In recent years, political interest in Artificial Intelligence (AI) governance has surged as AI is recognized as a General-Purpose Technology, impacting 40% of the labor market. The United States, Singapore, and the United Kingdom are leading in AI adoption, while global initiatives, such as those by the United Nations and the European Union, focus on establishing ethical standards and regulatory frameworks. The United Nations aims to serve as a universal governance body for AI, leveraging its global legitimacy, while the European Union seeks to create ethical AI standards to build trust. China and India are also developing their own AI strategies. The rapid expansion of AI raises concerns around data management, health, security, and ethics, intersecting with issues of democracy and corporate influence. However, AI also holds potential for positive societal transformation if governed responsibly. Effective AI governance must align with broader ethical goals, prioritizing inclusivity, sustainability, and the common good. A proposed “meta-project” for AI governance emphasizes defining a collective vision for AI’s future and ensuring its development aligns with this vision. This requires multidisciplinary collaboration and a deep understanding of AI’s societal impacts. Key principles include prudence, a human-centered approach, ecological sustainability, and making AI concepts accessible through popular culture. In conclusion, inclusive, transparent, and responsible AI governance is essential. It should prioritize the common good, align with the United Nations’ Sustainable Development Goals, and address ethical, social, and practical considerations to ensure AI serves humanity’s best interests and supports sustainable development and peace.

For a Prudential Governance of AI

Tambone V.;
2024-01-01

Abstract

In recent years, political interest in Artificial Intelligence (AI) governance has surged as AI is recognized as a General-Purpose Technology, impacting 40% of the labor market. The United States, Singapore, and the United Kingdom are leading in AI adoption, while global initiatives, such as those by the United Nations and the European Union, focus on establishing ethical standards and regulatory frameworks. The United Nations aims to serve as a universal governance body for AI, leveraging its global legitimacy, while the European Union seeks to create ethical AI standards to build trust. China and India are also developing their own AI strategies. The rapid expansion of AI raises concerns around data management, health, security, and ethics, intersecting with issues of democracy and corporate influence. However, AI also holds potential for positive societal transformation if governed responsibly. Effective AI governance must align with broader ethical goals, prioritizing inclusivity, sustainability, and the common good. A proposed “meta-project” for AI governance emphasizes defining a collective vision for AI’s future and ensuring its development aligns with this vision. This requires multidisciplinary collaboration and a deep understanding of AI’s societal impacts. Key principles include prudence, a human-centered approach, ecological sustainability, and making AI concepts accessible through popular culture. In conclusion, inclusive, transparent, and responsible AI governance is essential. It should prioritize the common good, align with the United Nations’ Sustainable Development Goals, and address ethical, social, and practical considerations to ensure AI serves humanity’s best interests and supports sustainable development and peace.
2024
978-3-031-76960-3
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.12610/84349
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