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170 Center for Research on Foundation Models (CRFM) Rochelle Choenni and Ekaterina Shutova. 2020. Cross-neutralising: Probing for joint encoding of linguistic information in multilingual models. arXiv preprint arXiv:2010.12825 (2020). Alex Chohlas-Wood, Joe Nudell, Zhiyuan Jerry Lin, Julian Nyarko, and Sharad Goel. 2020. Blind justice: Algorithmically masking race in charging decisions. Technical Report. Technical report. Jonathan H Choi. 2020. An Empirical Study of Statutory Interpretation in Tax Law. NYUL Rev. 95 (2020), 363. Noam Chomsky. 2014. The minimalist program. MIT press. Krzysztof Choromanski, Valerii Likhosherstov, David Dohan, Xingyou Song, Andreea Gane, Tamas Sarlos, Peter Hawkins, Jared Davis, Afroz Mohiuddin, Lukasz Kaiser, et al. 2020. Rethinking attention with performers. arXiv preprint arXiv:2009.14794 (2020). Alexandra Chouldechova and Aaron Roth. 2020. A snapshot of the frontiers of fairness in machine learning. Commun. ACM 63, 5 (April 2020), 82–89. https://doi.org/10.1145/3376898 Yinlam Chow, Ofir Nachum, Edgar A. Duéñez-Guzmán, and M. Ghavamzadeh. 2018. A Lyapunov-based Approach to Safe Reinforcement Learning. In Advances in Neural Information Processing Systems (NeurIPS). Paul Christiano. 2016. Prosaic AI Alignment. https://ai-alignment.com/prosaic-ai-control-b959644d79c2 Yeounoh Chung, Tim Kraska, Neoklis Polyzotis, Ki Hyun Tae, and Steven Euijong Whang. 2019. Slice finder: Automated data slicing for model validation. In 2019 IEEE 35th International Conference on Data Engineering (ICDE). IEEE, 1550–1553. Cigna. 2018. Cigna U.S. Loneliness Index. https://www.cigna.com/assets/docs/newsroom/loneliness-survey-2018-full- report.pdf Danielle Keats Citron. 2008. Technological Due Process. Wash. U. L. Rev. 1249 (2008). https://openscholarship.wustl.edu/ law_lawreview/vol85/iss6/2/ Elizabeth Clark, Tal August, Sofia Serrano, Nikita Haduong, Suchin Gururangan, and Noah A Smith. 2021. All That’s ’Human’ Is Not Gold: Evaluating Human Evaluation of Generated Text. arXiv preprint arXiv:2107.00061 (2021). Kevin Clark, Minh-Thang Luong, Quoc V. Le, and Christopher D. Manning. 2020. ELECTRA: Pre-training Text Encoders as Discriminators Rather Than Generators. In International Conference on Learning Representations. Peter Clark, Oren Etzioni, Daniel Khashabi, Tushar Khot, Bhavana Dalvi Mishra, Kyle Richardson, Ashish Sabharwal, Carissa Schoenick, Oyvind Tafjord, Niket Tandon, Sumithra Bhakthavatsalam, Dirk Groeneveld, Michal Guerquin, and Michael Schmitz. 2019. From ’F’ to ’A’ on the N.Y. Regents Science Exams: An Overview of the Aristo Project. CoRR abs/1909.01958 (2019). http://arxiv.org/abs/1909.01958 John D. Co-Reyes, Abhishek Gupta, Suvansh Sanjeev, Nick Altieri, John DeNero, Pieter Abbeel, and Sergey Levine. 2019. Guiding Policies with Language via Meta-Learning. In International Conference on Learning Representations (ICLR). Cary Coglianese and Lavi Ben Dor. 2020. AI in Adjudication and Administration. Brooklyn Law Review, Forthcoming, University of Pennsylvania Law School, Public Law Research Paper 19-41 (2020). Elijah Cole, Xuan Yang, Kimberly Wilber, Oisin Mac Aodha, and Serge Belongie. 2021. When Does Contrastive Visual Representation Learning Work? arXiv:2105.05837 [cs.CV] Cody Coleman, Deepak Narayanan, Daniel Kang, Tian Zhao, Jian Zhang, Luigi Nardi, Peter Bailis, Kunle Olukotun, Chris Ré, and Matei Zaharia. 2017. DAWNBench: An End-to-End Deep Learning Benchmark and Competition. In NeurIPS Workshop on Systems for M
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