2311.08576
arxiv.org · 8,358 words · saved by 1 readers
N/A
Towards Evaluating AI Systems for Moral Status Using Self-Reports Ethan Perez Robert Long New York University New York University perez@nyu.edu robert.long@nyu.edu arXiv:2311.08576v1 [cs.LG] 14 Nov 2023…
saved by
related reading
- 2212.03827arxiv.org
- 2310.01405arxiv.org
- Emergent introspective awareness in large language models \ Anthropicanthropic.com
- [2604.16812] Introspection Adapters: Training LLMs to Report Their Learned Behaviorsarxiv.org
- [2508.14802] Privileged Self-Access Matters for Introspection in AIarxiv.org
- [2511.08579] Training Language Models to Explain Their Own Computationsarxiv.org
- Self-Fulfilling Misalignment Data Might Be Poisoning Our AI Modelsturntrout.com
- Discovering Language Model Behaviors with Model-Written Evaluations — LessWronglesswrong.com
- [2505.17120] Self-Interpretability: LLMs Can Describe Complex Internal Processes that Drive Their Decisionsarxiv.org
- [2605.10310] Positive Alignment: Artificial Intelligence for Human Flourishingarxiv.org
- 2310.01405.pdfarxiv.org
- Emergent Introspection in AI is Content-Agnosticarxiv.org