ACL Findings2021
Use of Formal Ethical Reviews in NLP Literature: Historical Trends and Current Practices
Sebastin Santy, Anku Rani, Monojit Choudhury
Abstract
Ethical aspects of research in language technologies have received much attention recently. It is a standard practice to get a study involving human subjects reviewed and approved by a professional ethics committee/board of the institution. How commonly do we see mention of ethical approvals in NLP research? What types of research or aspects of studies are usually subject to such reviews? With the rising concerns and discourse around the ethics of NLP, do we also observe a rise in formal ethical reviews of NLP studies? And, if so, would this imply that there is a heightened awareness of ethical issues that was previously lacking? We aim to address these questions by conducting a detailed quantitative and qualitative analysis of the ACL Anthology, as well as comparing the trends in our field to those of other related disciplines, such as cognitive science, machine learning, data mining, and systems.
Ask Lune
Ask anything. The answer quotes the paper.
Lune reads all of it and the papers around it, then shows you the passages behind every answer.
Builds on1
Related papers
- Values, Ethics, Morals? On the Use of Moral Concepts in NLP ResearchKarina Vida, Judith Simon, Anne LauscherEMNLP Findings 2023 · 7 citations
- Awes, Laws, and Flaws From Today's LLM ResearchAdrian de WynterACL Findings 2025 · 1 citation
- 'Just What do You Think You're Doing, Dave?' A Checklist for Responsible Data Use in NLPAnna Rogers, Timothy Baldwin, Kobi LeinsEMNLP Findings 2021 · 42 citations
- Exploring Supervised Approaches to the Detection of Anthropomorphic Language in the Reporting of NLP VenuesMatthew Shardlow, Ashley Williams, Charlie Roadhouse, Filippos Ventirozos et al.ACL Findings 2025 · 2 citations
- Yes-Yes-Yes: Proactive Data Collection for ACL Rolling Review and BeyondNils Dycke, Ilia Kuznetsov, Iryna GurevychEMNLP Findings 2022 · 10 citations
