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Identity and Ethics

Required Readings
  1. Jens Allwood, David Traum, and Kristiina Jokinen, Cooperation, Dialog, and Ethics, In International Journal of Human Computer Studies 53(6):871--914, 2000.
  2. Artstein, Ron, and Kenneth Silver. Ethics for a Combined Human-Machine Dialogue Agent. 'AAAI Spring Symposia. 2016.
  3. Bryson, Joanna J. Patiency is not a virtue: the design of intelligent systems and systems of ethics. Ethics and Information Technology 20.1 (2018): 15-26.
  4. Henderson, P., Sinha, K., Angelard-Gontier, N., Ke, N. R., Fried, G., Lowe, R., & Pineau, J. (2018, December). Ethical challenges in data-driven dialogue systems. In Proceedings of the 2018 AAAI/ACM Conference on AI, Ethics, and Society (pp. 123-129).
Other Readings
  1. Sarah Fillwock and David Traum, Identification of Personal Information Shared in Chat-Oriented Dialogue in Proceedings of the LREC 2018 conference.
  2. Kurt Shuster, Jack Urbanek, Arthur Szlam, and Jason Weston. 2022. Am I Me or You? State-of-the-Art Dialogue Models Cannot Maintain an Identity. In Findings of the Association for Computational Linguistics: NAACL 2022, pages 2367–2387, Seattle, United States. Association for Computational Linguistics.
  3. Curry, Amanda Cercas, and Verena Rieser. # MeToo Alexa: how conversational systems respond to sexual harassment. Proceedings of the second acl workshop on ethics in natural language processing. 2018.
  4. Caleb Ziems, Jane Yu, Yi-Chia Wang, Alon Halevy, and Diyi Yang. 2022. The Moral Integrity Corpus: A Benchmark for Ethical Dialogue Systems In Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), pages 3755–3773, Dublin, Ireland. Association for Computational Linguistics.
  5. Zhai, Chunpeng, Santoso Wibowo, and Lily D. Li. The effects of over-reliance on AI dialogue systems on students' cognitive abilities: a systematic review. Smart Learning Environments 11.1 (2024): 28.
  6. Felkner, Virginia, Jennifer Thompson, and Jonathan May. GPT is Not an Annotator: The Necessity of Human Annotation in Fairness Benchmark Construction. Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). 2024.