Differences

This shows you the differences between two versions of the page.

--- nlp:ethics [2020/12/03 10:19] – jmflanig
+++ nlp:ethics [2023/10/06 17:25] (current) – [Papers about Ethics] jmflanig
@@ Line 1: / Line 1: @@
 ====== Ethics in NLP ======
 In March 2020, ACL adopted the [[https://www.acm.org/code-of-ethics|ACM code of ethics]].
-===== Controversial Papers =====
-  * [[https://www.aclweb.org/anthology/D19-1667.pdf|Chen et al 2019 - Charge-Based Prison Term Prediction with Deep Gating Network]]
 ===== Papers about Ethics =====
@@ Line 9: / Line 6: @@
   * [[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 =====
@@ Line 16: / Line 21: @@
   * [[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]]