Taxonomizing Alignment Failures in AI-driven Research

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AI-driven research is becoming increasingly common. It would be great to come up with a taxonomy of alignment failures in this context, examples could be omitting negative findings, overclaiming results, intentionally giving bad ideas (or generally research sabotage). Ideally, this taxonomy includes categories that are not yet well documented in the literature.

Implemented:https://github.com/Hypogenic-AI/align-failures-taxonomy-db56-claude Implemented:https://github.com/Hypogenic-AI/align-failure-taxonomy-d26d-codex Implemented:https://github.com/Hypogenic-AI/align-failures-taxonomy-344e-gemini

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If you are inspired by this idea, you can reach out to the authors for collaboration or cite it:

@misc{tan-taxonomizing-alignment-failures-2026,
  author = {Tan, Chenhao},
  title = {Taxonomizing Alignment Failures in AI-driven Research},
  year = {2026},
  url = {https://hypogenic.ai/ideahub/idea/Izhul5CPFbQ8oUZH8cd6}
}

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