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Filtered Union Bibliography

This automatically-generated file contains references from the main union bibliography that have been filtered for a single tag. Do not edit this file; instead, please update the main bibliography and tag references appropriately to have them show up here. Thank you!

The papers are listed in the same order as the main bibliography; e.g., by year of publication / release; then by surname / name of the first author.

General Resources

  • Karamolegkou, A., Hansen, S. S., Christopoulou, A., Stamatiou, F., Lauscher, A., & Søgaard, A. (2024). Ethical Concern Identification in NLP: A Corpus of ACL Anthology Ethics Statements. [paper] General Resources preprint

  • Liu, J., Li, W., Jin, Z., & Diab, M.T. (2024). Automatic Generation of Model and Data Cards: A Step Towards Responsible AI. In Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), pages 1975–1997, Mexico City, Mexico. Association for Computational Linguistics. [paper] General Resources data published

  • Coghlan, S., & Parker, C. (2023). Harm to Nonhuman Animals from AI: a Systematic Account and Framework. Philosophy & Technology. [paper] General Resources published

  • Benotti L, Blackburn P. 2022. Ethics consideration sections in natural language processing papers. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pages 4509–4516, Abu Dhabi, United Arab Emirates. Association for Computational Linguistics. [paper] General Resources published

  • Fraser, K.C., Kiritchenko, S., Balkir, E. (2022) Does Moral Code Have a Moral Code? Probing Delphi's Moral Philosophy. In Proceedings of the 2nd Workshop on Trustworthy Natural Language Processing (TrustNLP 2022), pages 26–42, Seattle, U.S.A. Association for Computational Linguistics. [paper] General Resources published

  • Mohammad, S. (2022). Ethics Sheets for AI Tasks. In Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), pages 8368–8379, Dublin, Ireland. Association for Computational Linguistics. [paper] General Resources published

  • Abdalla, M. & Abdalla, M. (2021). The Grey Hoodie Project: Big Tobacco, Big Tech, and the Threat on Academic Integrity Proceedings of the 2021 AAAI/ACM Conference on AI, Ethics, and Society, Association for Computing Machinery, 2021, 287-297. [paper] General Resources published

  • Kiritchenko, S., Nejadgholi, I., and Fraser, K. C. (2021). Confronting Abusive Language Online: A Survey from the Ethical and Human Rights Perspective. Journal of Artificial Intelligence Research, 71: 431-478, July 2021. doi:10.1613/jair.1.12590. [paper] General Resources published

  • Hagendorff, T. The Ethics of AI Ethics: An Evaluation of Guidelines Minds & Machines, 2020, 30, 99-120. [paper] General Resources published

  • Kalluri P. (2020). Don't ask if artificial intelligence is good or fair, ask how it shifts power. Nature, 583(7815), 169. [paper] General Resources post

  • Kulynych, B., Overdorf, R., Troncoso, C., & Gürses, S. (2020). POTs: protective optimization technologies. In Proceedings of the 2020 Conference on Fairness, Accountability, and Transparency (FAT* '20). Association for Computing Machinery, New York, NY, USA, 177–188. DOI:https://doi.org/10.1145/3351095.3372853. [paper] General Resources published

  • Leins, K. Lau, J. H., & Baldwin, T. (2020, July). Give Me Convenience and Give Her Death: Who Should Decide What Uses of NLP are Appropriate, and on What Basis?. In Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics (pp 2908–2913) [paper] General Resources published

  • Green, B. (2019). "Good" isn't good enough. In Proceedings of the AI for Social Good workshop at NeurIPS. [paper] General Resources published

  • Monteiro, M. (2019). Ruined by design: How designers destroyed the world, and what we can do to fix it. Mule Design. General Resources published

  • Larson, B. (2017). Gender as a Variable in Natural-Language Processing: Ethical Considerations. In Proceedings of the First ACL Workshop on Ethics in Natural Language Processing (pp. 1–11). [paper] General Resources published

  • Leidner, J. L. & Plachouras, V. Ethical by Design: Ethics Best Practices for Natural Language Processing. In Proceedings of the First ACL Workshop on Ethics in Natural Language Processing, Association for Computational Linguistics, 2017, 30-40. [paper] General Resources published

  • Parra Escartin, C.; Reijers, W.; Lynn, T.; Moorkens, J.; Way, A. & Liu, C.-H. Ethical Considerations in NLP Shared Tasks. In Proceedings of the First ACL Workshop on Ethics in Natural Language Processing, Association for Computational Linguistics, 2017, 66-73. [paper] General Resources published

  • Šuster, S., Tulkens, S., & Daelemans, W. (2017). A short review of ethical challenges in clinical natural language processing. In Proceedings of the First ACL Workshop on Ethics in Natural Language Processing. [paper] General Resources published

  • Amblard, M. (2016). Pour un TAL responsable. Traitement Automatique des Langues, 57(2), 21-45. [paper] General Resources published

  • Fort, K., & Couillault, A. (2016, May). Yes, we care! results of the ethics and natural language processing surveys. In international Language Resources and Evaluation Conference (LREC) 2016. [paper] General Resources published

  • Hovy, D., & Spruit, S. L. (2016, August). The social impact of natural language processing. In Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers) (pp. 591-598) doi:10.18653/v1/P16-2096. [paper] General Resources published

  • Lefeuvre-Halftermeyer, A., Govaere, V., Antoine, J. Y., Allegre, W., Pouplin, S., Departe, J. P., ... & Spagnulo, A. (2016). Typologie des risques pour une analyse éthique de l'impact des technologies du TAL. Traitement Automatique des Langues, 57(2), 47-71. [paper] General Resources published

  • Ferraro, F., Mostafazadeh, N., Vanderwende, L., Devlin, J., Galley, M., & Mitchell, M. (2015). A survey of current datasets for vision and language research. In Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing, pages 207–213, Lisbon, Portugal. Association for Computational Linguistics. doi:10.18653/v1/D15-1021 [paper] General Resources published

  • Lefeuvre A., Antoine J-Y., Allegre W. Ethique conséquentialiste et traitement automatique des langues : une typologie de facteurs de risques adaptée aux technologies langagières. Atelier Ethique et TRaitemeNt Automatique des Langues (ETeRNAL'2015), conférence TALN'2015, Jun 2015, Caen, France. pp.53-66. ⟨hal-01170630⟩ [paper] General Resources published

  • Wagstaff, K. (2012). Machine learning that matters. In Proceedings of the 29th International Coference on International Conference on Machine Learning (ICML'12). [paper] General Resources published

  • Kenny, D. The ethics of machine translation. (2011). New Zealand Society of Translators and Interpreters Annual Conference 2011. [paper] General Resources published