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Hidden harm, delayed response: What AI whistleblowing cases reveal about oversight gaps

Nataliia Tashevtseva & Suelette Dreyfus
2026-10-14 9:00 am
Breakout
Leadership, Governance and Accountability
Governing Autonomous and AI-Driven Systems

Analysis of AI whistleblowing cases reveals a gap between what AI systems can do and what governance can detect, using disclosure as a diagnostic signal.

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Nataliia Tashevtseva, a University of Melbourne PhD candidate researching AI harm and privacy, presents on what AI whistleblowing reveals about oversight gaps.
Nataliia Tashevtseva
PhD Candidate
The University of Melbourne
Nataliia Tashevtseva, a University of Melbourne PhD candidate researching AI harm and privacy, presents on what AI whistleblowing reveals about oversight gaps.
Dr Suelette Dreyfus is a senior lecturer at the University of Melbourne, presenting on what AI whistleblowing cases reveal about oversight gaps.
Suelette Dreyfus
Senior Lecturer
University of Melbourne
Dr Suelette Dreyfus is a senior lecturer at the University of Melbourne, presenting on what AI whistleblowing cases reveal about oversight gaps.

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