“As consumers, we need to call on developers to place more regulations for minimizing bias in LLMs.”
- Result from group survey
As artificial intelligence (AI) technologies continue to advance at an unprecedented pace, the ethical implications of these advancements become increasingly complex. Walk through the research conducted by Matias Beotello, Sonia Fan, Emily Inman, Eddie Ioana, Krish Lulla, Meredith Joo, and Isabella Sicilian below to discover their call to action.
Cite this project as: Botello, M., Fan, S., Inman, E., Ioana, E., Lulla, K., Joo, M., & Sicilian, I. Ethics and Bias in AI LLMs. Under the supervision of professor Lara Bryfonski & teaching assistant Abby Killam. LING 1000: Introduction to Linguistics, Georgetown University. Spring 2024.
Bender, E. M., Gebru, T., McMillan-Major, A., & Shmitchell, S. (2021). On the Dangers of Stochastic Parrots: Can Language Models Be Too Big? 🦜 In Proceedings of the 2021 ACM Conference on Fairness, Accountability, and Transparency (FAccT '21). Association for Computing Machinery, New York, NY, USA, 610–623. https://doi.org/10.1145/3442188.3445922
Blodgett, S. L., Barocas, S., Daumé III, H., & Wallach, H. (2020). Language (Technology) is Power: A Critical Survey of “Bias” in NLP. In Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, pages 5454–5476, Online. Association for Computational Linguistics.
Dev, S., Monajatipoor, M., Ovalle, A., Subramonian, A., Phillips, J., & Chang, K. (2021). Harms of Gender Exclusivity and Challenges in Non-Binary Representation in Language Technologies. In Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, pages 1968–1994, Online and Punta Cana, Dominican Republic. Association for Computational Linguistics.
Felkner, V., Chang, H. H., Jang, E., & May, J. (2023). WinoQueer: A Community-in-the-Loop Benchmark for Anti-LGBTQ+ Bias in Large Language Models. In Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), pages 9126–9140, Toronto, Canada. Association for Computational Linguistics.
Kumar, S., Balachandran, V., Njoo, L., Anastasopoulos, A., & Tsvetkov, Y. (2023). Language Generation Models Can Cause Harm: So What Can We Do About It? An Actionable Survey. In Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, pages 3299–3321, Dubrovnik, Croatia. Association for Computational Linguistics.
Weil, E. (2023, March 1). You Are Not a Parrot And a Chatbot is not a human. And a linguist named Emily M. Bender is very worried what will happen when we forget this. Intelligencer.