mlsanityData to 14 Oct 2026

Use of Formal Ethical Reviews in NLP Literature: Historical Trends and Current Practices

arXiv 2106.01105 ↗First posted 2 Jun 2021cs.CLcited by 3

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Abstract (arXiv)

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.

Key facts. Cited by 3 papers in the map (data through 14 Oct 2026). Builds on 7 of its 34 references that are in the map. First posted on arXiv 2 Jun 2021.

Builds on

7 of 34 references.

References · 7

  1. 2020The State and Fate of Linguistic Diversity and Inclusion in the NLP Worldcited by 798
  2. 2021Beyond Fair Pay: Ethical Implications of NLP Crowdsourcingcited by 53
  3. 2021Unpacking the Expressed Consequences of AI Research in Broader Impact Statementscited by 22
  4. 2020Syntactic Search by Examplecited by 20
  5. 2017A Short Review of Ethical Challenges in Clinical Natural Language Processingcited by 14
  6. 2020Interactive Extractive Search over Biomedical Corporacited by 10
  7. 2019Principled Frameworks for Evaluating Ethics in NLP Systemscited by 1

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Cited by year

Citing papers per year: 2021: 1; 2022: 1; 2023: 1.

3 papers.