Whistleblowing and the machine -- towards a considered position
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Abstract (arXiv)
Artificial intelligent agents and autonomous systems are embedded in our environments. They are both a commercial product and a personal tool that generates a lot of data and can draw conclusions from it: machines generate and keep secrets. But should machines protect all secrets? It has been shown that artificial agents are able to whistleblow and it has been argued that digital multi-agent environments should allow for agents in them to whistleblow. We argue that machine whistleblowing must be normative and principled and routed in the existing understanding of whistleblowing as an important rule-breaking mechanism in society. We also argue that there is a need for government regulators to formulate an informed stance on both what machines should be allowed to whistleblow on and how to legally protect those who develop whistleblowing machines
Key facts. No citing papers in the map yet (data through 14 Oct 2026). Builds on 3 of its 23 references that are in the map. First posted on arXiv 19 Jun 2026.
Builds on
3 of 23 references.
References · 3
- 2019Do Cookie Banners Respect my Choice? Measuring Legal Compliance of Banners from IAB Europe's Transparency and Consent Frameworkcited by 9
- 2025Why Do Language Model Agents Whistleblow?cited by 5
- 2021Immune Moral Models? Pro-Social Rule Breaking as a Moral Enhancement Approach for Ethical AIcited by 2
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