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Is human oversight to AI systems still possible?

paper

Authors

Andreas Holzinger·Kurt Zatloukal·Heimo Müller

Credibility Rating

4/5
High(4)

High quality. Established institution or organization with editorial oversight and accountability.

Rating inherited from publication venue: PubMed Central

Published in a peer-reviewed medical/life sciences venue (PubMed), this paper addresses the broader question of human oversight viability, relevant to AI safety researchers and policymakers concerned with maintaining meaningful human control over increasingly autonomous systems.

Metadata

Importance: 68/100journal articleanalysis

Summary

This paper examines the feasibility of meaningful human oversight over increasingly capable AI systems, analyzing the technical, organizational, and institutional challenges that threaten effective human control. It explores whether current oversight mechanisms are adequate given the pace of AI development and proposes frameworks for preserving human agency in AI governance.

Key Points

  • Questions whether traditional human oversight mechanisms remain viable as AI systems grow in complexity, speed, and autonomy
  • Identifies key challenges including opacity of AI decision-making, speed mismatches, and scale of deployment that undermine human control
  • Examines institutional and regulatory frameworks needed to maintain meaningful oversight across different deployment contexts
  • Argues that preserving human oversight requires proactive redesign of both technical systems and governance structures
  • Highlights tension between operational efficiency pressures and the requirements for robust, genuine human control

Cited by 1 page

PageTypeQuality
AI Structural Risk CruxesCrux66.0

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Resource ID: 08259771409bf488 | Stable ID: NmZiN2FhMj