mlsanityData to 14 Oct 2026

Ethical Concern Identification in NLP: A Corpus of ACL Anthology Ethics Statements

arXiv 2411.07845 ↗First posted 12 Nov 2024cs.CL cs.AI cs.CYcited by 3

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Abstract (arXiv)

What ethical concerns, if any, do LLM researchers have? We introduce EthiCon, a corpus of 1,580 ethical concern statements extracted from scientific papers published in the ACL Anthology. We extract ethical concern keywords from the statements and show promising results in automating the concern identification process. Through a survey, we compare the ethical concerns of the corpus to the concerns listed by the general public and professionals in the field. Finally, we compare our retrieved ethical concerns with existing taxonomies pointing to gaps and future research directions.

Key facts. Cited by 3 papers in the map (data through 14 Oct 2026). Builds on 24 of its 51 references that are in the map. First posted on arXiv 12 Nov 2024.

Builds on

24 of 51 references.

References · 24

  1. 2023Efficient Memory Management for Large Language Model Serving with PagedAttentioncited by 5,944
  2. 2019BERTScore: Evaluating Text Generation with BERTcited by 5,512
  3. 2021On the Opportunities and Risks of Foundation Modelscited by 4,033
  4. 2021Ethical and social risks of harm from Language Modelscited by 966
  5. 2020Aligning AI With Shared Human Valuescited by 723
  6. 2019Release Strategies and the Social Impacts of Language Modelscited by 513
  7. 2023Large Language Models in Finance: A Surveycited by 226
  8. 2021Societal Biases in Language Generation: Progress and Challengescited by 202
  9. 2021The Values Encoded in Machine Learning Researchcited by 172
  10. 2018The Malicious Use of Artificial Intelligence: Forecasting, Prevention, and Mitigationcited by 165
  11. 2024Attacks, Defenses and Evaluations for LLM Conversation Safety: A Surveycited by 130
  12. 2023Factuality Challenges in the Era of Large Language Modelscited by 126
12 more
  1. 2022Bias Mitigation for Machine Learning Classifiers: A Comprehensive Surveycited by 125
  2. 2024The Ethics of Advanced AI Assistantscited by 107
  3. 2020Scruples: A Corpus of Community Ethical Judgments on 32,000 Real-Life Anecdotescited by 101
  4. 2024A Survey of Large Language Models for Financial Applications: Progress, Prospects and Challengescited by 90
  5. 2021Anticipating Safety Issues in E2E Conversational AI: Framework and Toolingcited by 78
  6. 2021A Survey of Race, Racism, and Anti-Racism in NLPcited by 75
  7. 2022Representation Bias in Data: A Survey on Identification and Resolution Techniquescited by 37
  8. 2023Fairness and Bias in Algorithmic Hiring: a Multidisciplinary Surveycited by 30
  9. 2023Sociodemographic Bias in Language Models: A Survey and Forward Pathcited by 28
  10. 2022Towards Climate Awareness in NLP Researchcited by 19
  11. 2023The ACL OCL Corpus: Advancing Open Science in Computational Linguisticscited by 17
  12. 2023Values, Ethics, Morals? On the Use of Moral Concepts in NLP Researchcited by 14

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Cited by year (2026 to 14 Oct)

Citing papers per year: 2026: 3.

3 papers.

  1. 2026Who Annotates in NLP? A Large-scale Assessment of Human Annotation Reporting between 2018 and 2025cited by 1
  2. 2026LLMs in the Real World: Evaluating "AI" in Emergency Contextscited by 0
  3. 2026Is the ACL Responsible NLP Checklist a Box-Ticking Exercise? A Large-Scale Analysis of EMNLP 2025cited by 0