Dr Eddie L. Ungless

Dr Eddie L. Ungless

Looking for post-docs/ research scientist positions. A collection of my thoughts on the topics of ethics, fairness and social bias in NLP and beyond.

Lavender Linguistics Keynote

Material for Keynote, Lavender Languages and Linguistics, University of Edinburgh: Queer (dis)belonging

References
  • Bender, E. M., Gebru, T., McMillan-Major, A., & Shmitchell, S. (2021). On the Dangers of Stochastic Parrots: Can Language Models Be Too Big? Proceedings of the 2021 ACM Conference on Fairness, Accountability, and Transparency, 610–623. Link
  • Buolamwini, J., & Gebru, T. (2018). Gender Shades: Intersectional Accuracy Disparities in Commercial Gender Classification. Conference on Fairness, Accountability and Transparency, 77–91. Link
  • Chen, Y.-T., Chang, E.-K., Bi, N., & Goyal, N. (2026). Surfacing and Applying Meaning: Supporting Hermeneutical Autonomy for LGBTQ+ People in Taiwan. Proceedings of the 2026 CHI Conference on Human Factors in Computing Systems, CHI ’26, 1–28. Link
  • Elazar, Y., Bhagia, A., Magnusson, I., Ravichander, A., Schwenk, D., Suhr, A., Walsh, P., Groeneveld, D., Soldaini, L., Singh, S., Hajishirzi, H., Smith, N. A., & Dodge, J. (2024). What’s In My Big Data? arXiv. Link
  • Hooker, S. (2021). Moving beyond “algorithmic bias is a data problem”. Patterns, 2(4), 100241. Link
  • Jones, R. H. (2023). Lip-synching and young people’s everyday linguistic activism on TikTok. In #YouthMediaLife & Friends (pp. 23–42). V&R unipress. Link
  • Kachel, S., Simpson, A. P., & Steffens, M. C. (2018). “Do I Sound Straight?”: Acoustic Correlates of Actual and Perceived Sexual Orientation and Masculinity/Femininity in Men’s Speech. Journal of Speech, Language, and Hearing Research, 61(7), 1560–1578. Link
  • Markl, N. (2022). Mind the data gap(s): Investigating power in speech and language datasets. Proceedings of the Second Workshop on Language Technology for Equality, Diversity and Inclusion, 1–12. Link
  • Shelby, R., Rismani, S., Henne, K., Moon, Aj., Rostamzadeh, N., Nicholas, P., Yilla-Akbari, N., Gallegos, J., Smart, A., Garcia, E., & Virk, G. (2023). Sociotechnical Harms of Algorithmic Systems: Scoping a Taxonomy for Harm Reduction. Proceedings of the 2023 AAAI/ACM Conference on AI, Ethics, and Society, 723–741. Link
  • Sigurgeirsson, A., & Ungless, E. L. (2024). Just Because We Camp, Doesn’t Mean We Should: The Ethics of Modelling Queer Voices. Interspeech 2024, 3050–3054. Link
  • Ungless, E. L., Dev, S., Bennett, C. L., Gulotta, R., Bastings, J., & Denton, R. (2025). Amplifying Trans and Nonbinary Voices: A Community-Centred Harm Taxonomy for LLMs. In W. Che, J. Nabende, E. Shutova, & M. T. Pilehvar (Eds), Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) (pp. 20503–20535). Association for Computational Linguistics. Link
  • Ungless, E., Ross, B., & Lauscher, A. (2023). Stereotypes and Smut: The (Mis)representation of Non-cisgender Identities by Text-to-Image Models. In A. Rogers, J. Boyd-Graber, & N. Okazaki (Eds), Findings of the Association for Computational Linguistics: ACL 2023 (pp. 7919–7942). Association for Computational Linguistics. Link

Download here: Bibtex