One of the recurring puzzles for AI governance is how regulators will ever learn about noncompliance inside firms whose behavior is difficult to observe from the outside. A new empirical report published on arXiv by Beri and Baker (2026) argues that a dedicated whistleblower office could be a “force multiplier” for AI regulation, and offers a set of concrete design recommendations grounded in a dataset of 30 historical whistleblower case studies spanning 1978–2020 across 15 industries.
Designing an AI Whistleblower Office
One of the recurring puzzles for AI governance is how regulators will ever learn about noncompliance inside firms whose behavior is difficult to observe from the outside. A new empirical report published on arXiv by Beri and Baker (2026) argues that a dedicated whistleblower office could be a “force multiplier” for AI regulation, and offers a set of concrete design recommendations grounded in a dataset of 30 historical whistleblower case studies spanning 1978–2020 across 15 industries.