EthicsAccountabilitySafetycs.CY
Teaching AI, Ethics, Law and Policy
Asher Wilk
April 29, 2019
arXiv.org
8 citations
Key Takeaways
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Interdisciplinary expertise is essential for responsible AI development: The paper emphasizes that computer professionals, data scientists, regulators, and policy makers must all be involved in addressing AI challenges, indicating that technical skills alone are insufficient for building ethical intelligent systems.
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Real-world AI applications like autonomous vehicles demonstrate urgent need for ethical-legal-policy frameworks: Self-driving cars are highlighted as a concrete example where technical, ethical, legal, and public policy issues intersect, suggesting that emerging AI applications require coordinated attention across multiple domains before widespread deployment.
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Formal education in AI ethics and policy is necessary: The paper proposes a dedicated curriculum combining computers, ethics, law, and public policy, indicating that these topics should be integrated into professional training rather than treated as afterthoughts to technical development.
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The "cyberspace and intelligent systems" landscape creates novel regulatory challenges: The paper identifies that traditional approaches may be insufficient for emerging AI technologies, suggesting that policymakers and regulators need new frameworks specifically designed for intelligent systems rather than adapting legacy regulations.
Abstract
The cyberspace and development of intelligent systems using Artificial Intelligence (AI) creates new challenges to computer professionals, data scientists, regulators and policy makers. For example, self-driving cars raise new technical, ethical, legal and public policy issues. This paper proposes a course named Computers, Ethics, Law, and Public Policy, and suggests a curriculum for such a course. This paper presents ethical, legal, and public policy issues relevant to building and using intelligent systems.