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Social Foundations of Computation Algorithms and Society Conference Paper Collaborative Learning via Prediction Consensus Fan, D., Mendler-Dünner, C., Jaggi, M. In Advances in Neural Information Processing Systems 36 (NeurIPS 2023), Curran Associates, Inc., The Thirty-Seventh Annual Conference on Neural Information Processing Systems (NeurIPS), December 2023 (Published) ArXiv URL BibTeX
Social Foundations of Computation Poster Do Personality Tests Generalize to Large Language Models Dorner, F. E., Sühr, T., Samadi, S., Kelava, A. Socially Responsible Language Modelling Research (SoLaR) Workshop, The Thirty-Seventh Annual Conference on Neural Information Processing Systems (NeurIPS), December 2023, *equal contribution (Published) URL BibTeX
Social Foundations of Computation Book Fairness and Machine Learning: Limitations and Opportunities Barocas, S., Hardt, M., Narayanan, A. MIT Press, December 2023 (Published) URL BibTeX
Social Foundations of Computation Conference Paper Is Your Model Predicting the Past? Hardt, M., Kim, M. P. In Proceedings of the Third ACM Conference on Equity and Access in Algorithms, Mechanisms, and Optimization (EAAMO), ACM, October 2023 (Published) URL BibTeX
Social Foundations of Computation Conference Paper Incentivizing Honesty among Competitors in Collaborative Learning and Optimization Dorner, F. E., Konstantinov, N., Pashaliev, G., Vechev, M. In Advances in Neural Information Processing Systems 36 (NeurIPS 2023), The Thirty-Seventh Annual Conference on Neural Information Processing Systems (NeurIPS), September 2023 (Published) arXiv URL BibTeX
Social Foundations of Computation Conference Paper AI and the EU Digital Markets Act: Addressing the Risks of Bigness in Generative AI Yasar, A. G., Chong, A., Dong, E., Gilbert, T. K., Hladikova, S., Maio, R., Mougan, C., Shen, X., Singh, S., Stoica, A., et al. Proceedings of the 40th International Conference on Machine Learning (ICML 2023), PMLR, The Forty International Conference on Machine Learning (ICML), July 2023, Accepted (Accepted) arXiv URL BibTeX
Social Foundations of Computation Algorithms and Society Conference Paper Algorithmic Collective Action in Machine Learning Hardt, M., Mazumdar, E., Mendler-Dünner, C., Zrnic, T. In Proceedings of the 40th International Conference on Machine Learning (ICML 2023), PMLR, The Forty International Conference on Machine Learning (ICML), July 2023 (Published) URL BibTeX
Social Foundations of Computation Conference Paper A Theory of Dynamic Benchmarks Shirali, A., Abebe, R., Hardt, M. In The Eleventh International Conference on Learning Representations (ICLR 2023) , May 2023 (Published) arXiv URL BibTeX
Social Foundations of Computation Conference Paper What Makes ImageNet Look Unlike LAION Shirali, A., Hardt, M. The Twelfth International Conference on Learning Representations (ICLR 2024), February 2023, Submitted (Submitted) arXiv URL BibTeX
Social Foundations of Computation Article Difficult Lessons on Social Prediction from Wisconsin Public Schools Perdomo, J. C., Britton, T., Hardt, M., Abebe, R. Computing Research Repository (CoRR) , January 2023 (Published) arXiv URL BibTeX
Social Foundations of Computation Algorithms and Society Article Performative Prediction: Past and Future Hardt, M., Mendler-Dünner, C. 2023, In revision (In revision) arXiv BibTeX
Human Aspects of Machine Learning Social Foundations of Computation Unpublished Challenging the validity of personality tests for large language models Tom, S., Florian, D., Samadi, S., Kelava, A. arXiv, 2023, Submitted (Submitted) BibTeX
Human Aspects of Machine Learning Social Foundations of Computation Conference Paper Do personality tests generalize to Large Language Models? Sühr, T., Dorner, F., Samadi, S., Kelava, A. In Proceedings of the Thirty-Seventh Annual Conference on Neural Information Processing Systems., Ernest N. Morial Convention Center, New Orleans, Louisiana., Socially Responsible Language Modelling Research (SoLaR) Workshop at NeurIPS, 2023 (Published) URL BibTeX
Social Foundations of Computation Conference Paper Human-Guided Fair Classification for Natural Language Processing Dorner, F. E., Peychev, M., Konstantinov, N., Goel, N., Ash, E., Vechev, M. In The Eleventh International Conference on Learning Representations (ICLR 2023), February 2023 (Published) arXiv URL BibTeX