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AI and Human Oversight: A Risk-Based Framework for Alignment Human agency— the capacity of individuals to make informed decisions—should be actively preserved and reinforced by AI systems This paper examines strategies for designing AI systems that uphold fundamental rights, strengthen human agency, and embed effective human oversight mechanisms
Human Oversight of Artificial Intelligence: An Operations Management . . . Purpose: This paper presents a theoretical framework for AI oversight and examines the key dimensions used by operational managers to define their oversight activities for AI applications Design methodology approach: The research combines a theoretical and qualitative approach
Why Human Oversight in AI Governance Matters More Than Ever Human oversight is often touted as a safeguard against the most serious risks posed by high-risk AI systems, including bias, discrimination, and loss of accountability But what does it really mean to “oversee” an AI system, and does doing so make the system fairer?
Scaling Human Oversight in AI Systems - nano-gpt. com Managing AI oversight at scale is tough, but essential Here's why: human involvement ensures accountability, catches errors, and upholds ethical standards in AI decisions However, scaling oversight faces challenges like data overload, maintaining quality, and balancing resources
Making Sense of Research on How People Use AI This year, three major studies have examined the human behavioral side of AI OpenAI’s usage report, Anthropic’s Economic Index, and the author’s own social listening research, each shed a
On the Quest for Effectiveness in Human Oversight: Interdisciplinary . . . By analyzing the provisions and implications of the European AI Act proposal, we pinpoint how far that proposal aligns with our analyses regarding effective human oversight as well as how it might get enriched by our conceptual understanding of effectiveness in human oversight
Human Accountability and Responsibility Needed to Protect Scientific . . . In an editorial in the Proceedings of the National Academy of Sciences, an interdisciplinary group of experts urges the scientific community to follow five principles of human accountability and responsibility when using artificial intelligence in research and calls for the establishment of a new body to provide ongoing governance and oversight