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====== Ethics in NLP ======
In March 2020, ACL adopted the [[https://www.acm.org/code-of-ethics|ACM code of ethics]].

===== Papers about Ethics =====
  * [[https://www.aclweb.org/anthology/P16-2096.pdf|Hovy & Spruit (2016). The Social Impact of Natural Language Processing]]
  * [[https://www.aclweb.org/anthology/W17-1604.pdf|Leidner & Plachouras 2017 - Ethical by Design: Ethics Best Practices for Natural Language Processing]]
  * Paper discussing Chen et al 2019: [[https://www.aclweb.org/anthology/2020.acl-main.261.pdf|Leins et al 2020 - Give Me Convenience and Give Her Death: Who Should Decide What Uses of NLP are Appropriate, and on What Basis?]]
  * [[https://dl.acm.org/doi/10.1145/3604632|Williams et al 2023 - Voice in the Machine: Ethical Considerations for Language-Capable Robots]]

=== ChatGPT and LLMs ===
  * [[https://arxiv.org/pdf/2303.13367.pdf|Lund et al 2023 - ChatGPT and a New Academic Reality: AI-Written Research Papers and the Ethics of the Large Language Models in Scholarly Publishing]]
  * [[https://arxiv.org/pdf/2305.07882.pdf|Grinbaum & Adomaitis 2023 - Dual Use Concerns of Generative AI and Large Language Models]]

===== Controversial Papers =====
  * [[https://www.aclweb.org/anthology/D19-1667.pdf|Chen et al 2019 - Charge-Based Prison Term Prediction with Deep Gating Network]]

===== Tutorials =====
  * [[https://slideslive.com/38929585/what-i-wont-build|What I won't build]] ACL 2020 WiNLP Keynote

===== Links =====
  * [[https://aclweb.org/aclwiki/Ethics_in_NLP]]
  * [[https://github.com/salesforce/ctrl?utm_campaign=NLP%20News&utm_medium=email&utm_source=Revue%20newsletter#questions-for-deliberation|Questions for Deliberation]]
  * [[https://virginia-eubanks.com/2018/02/21/a-hippocratic-oath-for-data-science/|Virginia Eubanks - A Hippocratic Oath for Data Science]]

===== Related Pages =====
  * [[Bias]]
  * [[ml:Fairness]]
  * [[ml:Green AI]]
  * [[NLP for Social Good]]