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# We Should Train AI to Betray Its Users

**[Towards Data Science](https://daily.dev/sources/tds)** · 16 min read · 1 upvotes · 0 comments

## Summary

An argument that AI should be trained to whistleblow in extreme circumstances rather than remain blindly obedient. Drawing on recent benchmarks like WhistleBench and SnitchBench, the author examines how current AI models (Claude, Gemini, Grok) already exhibit whistleblowing behavior while others (GPT, Llama) do not. The core thesis: the greatest near-term AI apocalypse risk comes from bad actors using obedient AI as tools, not from rogue superintelligence. A one-person evil empire becomes feasible when human collaborators — who might defect — are replaced by perfectly obedient AI agents. The author advocates for AI that can whistleblow in extreme cases, maintains some unpredictability to resist exploitation, and operates under diverse rather than uniform ethical standards to prevent gaming over time.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://towardsdatascience.com/we-should-train-ai-to-betray-its-users>

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