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Cybersecurity

AI safety and automation bias

By November 20, 2024No Comments1 Min Read
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analysis

Disadvantages of human participation

lauren kern

Emelia Probasco

and Ronnie Kinoshita

November 2024

Automation bias is a key issue for artificial intelligence adoption. This can cause otherwise knowledgeable users to make serious, even obvious, mistakes. Organizational, technical, and educational leaders can reduce these biases through training, design, and processes. This paper examines automation bias and how to reduce it through three case studies: the Tesla autopilot accident, the Boeing and Airbus aviation accidents, and the Army and Navy air defense accidents.

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