mlsanityData to 7 Oct 2026

Give Me Convenience and Give Her Death: Who Should Decide What Uses of NLP are Appropriate, and on What Basis?

arXiv 2005.13213 ↗First posted 27 May 2020cs.CLcited by 27

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Abstract (arXiv)

As part of growing NLP capabilities, coupled with an awareness of the ethical dimensions of research, questions have been raised about whether particular datasets and tasks should be deemed off-limits for NLP research. We examine this question with respect to a paper on automatic legal sentencing from EMNLP 2019 which was a source of some debate, in asking whether the paper should have been allowed to be published, who should have been charged with making such a decision, and on what basis. We focus in particular on the role of data statements in ethically assessing research, but also discuss the topic of dual use, and examine the outcomes of similar debates in other scientific disciplines.

Key facts. Cited by 27 papers in the map (data through 7 Oct 2026). First posted on arXiv 27 May 2020.

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Citing papers per year: 2021: 6; 2022: 7; 2023: 8; 2024: 2; 2025: 2; 2026: 2.

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  1. 2023The Capacity for Moral Self-Correction in Large Language Modelscited by 171
  2. 2021Can Machines Learn Morality? The Delphi Experimentcited by 140
  3. 2021A Survey of Race, Racism, and Anti-Racism in NLPcited by 74
  4. 2022FairLex: A Multilingual Benchmark for Evaluating Fairness in Legal Text Processingcited by 48
  5. 2021Generate, Prune, Select: A Pipeline for Counterspeech Generation against Online Hate Speechcited by 42
  6. 2021On the Ethical Limits of Natural Language Processing on Legal Textcited by 26
  7. 2021Reliability Testing for Natural Language Processing Systemscited by 25
  8. 2022Listening to Affected Communities to Define Extreme Speech: Dataset and Experimentscited by 21
  9. 2022Towards Climate Awareness in NLP Researchcited by 19
  10. 2023The Intended Uses of Automated Fact-Checking Artefacts: Why, How and Whocited by 19
  11. 2022Towards a multi-stakeholder value-based assessment framework for algorithmic systemscited by 12
  12. 2023Leveraging Task Dependency and Contrastive Learning for Case Outcome Classification on European Court of Human Rights Casescited by 12
15 more
  1. 2021Challenges and Applications of Automated Extraction of Socio-political Events from Text (CASE 2021): Workshop and Shared Task Reportcited by 9
  2. 2023Has It All Been Solved? Open NLP Research Questions Not Solved by Large Language Modelscited by 7
  3. 2024Morality is Non-Binary: Building a Pluralist Moral Sentence Embedding Space using Contrastive Learningcited by 7
  4. 2023Japanese Tort-case Dataset for Rationale-supported Legal Judgment Predictioncited by 5
  5. 2022Challenges and Applications of Automated Extraction of Socio-political Events from Text (CASE 2022): Workshop and Shared Task Reportcited by 4
  6. 2024Incorporating Precedents for Legal Judgement Prediction on European Court of Human Rights Casescited by 4
  7. 2023Thorny Roses: Investigating the Dual Use Dilemma in Natural Language Processingcited by 3
  8. 2022FinTech for Social Good: A Research Agenda from NLP Perspectivecited by 1
  9. 2023Sociocultural knowledge is needed for selection of shots in hate speech detection taskscited by 1
  10. 2025Social Good or Scientific Curiosity? Uncovering the Research Framing Behind NLP Artefactscited by 1
  11. 2025Machine Learning for Detection and Analysis of Novel LLM Jailbreakscited by 1
  12. 2022Don't "research fast and break things": On the ethics of Computational Social Sciencecited by 0
  13. 2023The Ethics of Automating Legal Actorscited by 0
  14. 2026Is the ACL Responsible NLP Checklist a Box-Ticking Exercise? A Large-Scale Analysis of EMNLP 2025cited by 0
  15. 2026Beyond Good Intentions: When Does the Framing of Multilingual and Low-Resource NLP Research Become a Caricature?cited by 0