Lab Meeting @ 11.12.2024

[nniiicc]

Agenda

• Updates on Ai_Commenting: See -> https://github.com/WeberLab-UW/AI_Comment/issues/11 - need to debug script to retrieve all metadata from docket, comment, and attachment (right now just returning attachment)

• Next steps: Lets read

  • [Eva] Wadhwa, M., Amir, S., & Dredze, M. (2020, May). Aligning public feedback to requests for comments on regulations. gov. In Proceedings of the International AAAI Conference on Web and Social Media (Vol. 14, pp. 974-978).

  • [Sarah] Liesenfeld, A., & Dingemanse, M. (2024, June). Rethinking open source generative AI: open washing and the EU AI Act. In The 2024 ACM Conference on Fairness, Accountability, and Transparency (pp. 1774-1787).

  • [Anna] Laura Lucaj, Patrick van der Smagt, and Djalel Benbouzid. 2023. AI Regulation Is (not) All You Need. In Proceedings of the 2023 ACM Conference on Fairness, Accountability, and Transparency (FAccT '23). Association for Computing Machinery, New York, NY, USA, 1267–1279. https://doi.org/10.1145/3593013.3594079

  • [Nic] Katharina Simbeck. 2022. FAccT-Check on AI regulation: Systematic Evaluation of AI Regulation on the Example of the Legislation on the Use of AI in the Public Sector in the German Federal State of Schleswig-Holstein. In Proceedings of the 2022 ACM Conference on Fairness, Accountability, and Transparency (FAccT '22). Association for Computing Machinery, New York, NY, USA, 89–96. https://doi.org/10.1145/3531146.3533076

  • [Lindsey] DePaula, Lu Gao, Sehl Mellouli, Luis F. Luna-Reyes, and Teresa M. Harrison. 2024. Regulating the machine: An exploratory study of US state legislations addressing Artificial Intelligence, 2019-2023. In Proceedings of the 25th Annual International Conference on Digital Government Research (dg.o '24). Association for Computing Machinery, New York, NY, USA, 815–826. https://doi.org/10.1145/3657054.3657148

  • [Sarah] Philipp Hacker, Andreas Engel, and Marco Mauer. 2023. Regulating ChatGPT and other Large Generative AI Models. In Proceedings of the 2023 ACM Conference on Fairness, Accountability, and Transparency (FAccT '23). Association for Computing Machinery, New York, NY, USA, 1112–1123. https://doi.org/10.1145/3593013.3594067

  • [Sarah + Nic] Cui, J., & Araujo, D. A. (2024). Rethinking use-restricted open-source licenses for regulating abuse of generative models. Big Data & Society, 11(1), 20539517241229699.

  • [Isaac] Xing, L., Hackinen, B., & Carenini, G. (2023). Tracing influence at scale: A contrastive learning approach to linking public comments and regulator responses. arXiv preprint arXiv:2311.14871.

[thin-lizard]

For each paper:

• 2 sentence explainer about what the paper is abt
• & main takeways
• what's interesting in terms of future research