# Misalignment Bounty: Crowdsourcing AI Agent Misbehavior

arXiv: https://arxiv.org/abs/2510.19738 · HTML: https://mlsanity.com/paper/2510.19738/

## Key facts

- No citing papers in the map yet (data through 14 Oct 2026).
- Builds on 1 of its 3 references that are in the map.
- First posted on arXiv 22 Oct 2025.

## Builds on (most cited first, 1 of 1)

- [Alignment faking in large language models](https://mlsanity.com/paper/2412.14093/) (2024)

## Abstract (arXiv)

Advanced AI systems sometimes act in ways that differ from human intent. To gather clear, reproducible examples, we ran the Misalignment Bounty: a crowdsourced project that collected cases of agents pursuing unintended or unsafe goals. The bounty received 295 submissions, of which nine were awarded. This report explains the program's motivation and evaluation criteria, and walks through the nine winning submissions step by step.