Robust Artificial Intelligence and Robust Human Organizations
Thomas G. Dietterich

TL;DR
This paper discusses how integrating principles of high-reliability organizations into AI development and deployment can enhance safety and reduce catastrophic failures in high-risk applications.
Contribution
It highlights the importance of applying high-reliability organization principles to AI systems and human organizations for safer AI deployment.
Findings
High-reliability principles can improve AI safety.
Human-AI systems require organizational safeguards.
Implications for AI development and policy.
Abstract
Every AI system is deployed by a human organization. In high risk applications, the combined human plus AI system must function as a high-reliability organization in order to avoid catastrophic errors. This short note reviews the properties of high-reliability organizations and draws implications for the development of AI technology and the safe application of that technology.
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Taxonomy
TopicsFault Detection and Control Systems · Quality and Safety in Healthcare · Occupational Health and Safety Research
