Human Oversight as a Dimension of Well-being Efficacy in AI Governance
This paper introduces human oversight as a well-being capacity within the Well-being Efficacy framework for AI governance. It argues that effective human oversight requires AI literacy, ethical discernment, and awareness of human needs.
Why it matters
This research provides a theoretical foundation for developing human oversight as a critical capacity for ensuring the safe and ethical deployment of AI systems.
Key Points
- 1Human oversight is a distinct and developable capacity for safe and ethical AI
- 2Oversight requires competence to examine and restrain problematic human demands projected onto AI systems
- 3Sustainable development of oversight capacity depends on integration into education at all levels
- 4Well-being efficacy provides a practical path from high-level regulatory goals to cultivating human agency and responsibility
Details
The paper argues that major AI ethics guidelines and laws, including the EU AI Act, call for effective human oversight, but do not define it as a distinct and developable capacity. It introduces human oversight as a well-being capacity, situated within the emerging Well-being Efficacy framework. This concept integrates AI literacy, ethical discernment, and awareness of human needs, acknowledging that some needs may be conflicting or harmful. Because people inevitably project desires, fears, and interests into AI systems, oversight requires the competence to examine and, when necessary, restrain problematic demands. The authors contend that the sustainable and cost-effective development of this capacity depends on its integration into education at every level, from professional training to lifelong learning. The frame of human oversight as a well-being capacity provides a practical path from high-level regulatory goals to the continuous cultivation of human agency and responsibility essential for safe and ethical AI.
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