Representation in AI Evaluations

Author:

Bergman A. Stevie1ORCID,Hendricks Lisa Anne2ORCID,Rauh Maribeth2ORCID,Wu Boxi2ORCID,Agnew William3ORCID,Kunesch Markus2ORCID,Duan Isabella4ORCID,Gabriel Iason2ORCID,Isaac William2ORCID

Affiliation:

1. DeepMind, USA

2. DeepMind, United Kingdom

3. University of Washington, United Kingdom

4. University of Chicago, USA

Publisher

ACM

Reference155 articles.

1. NeurIPS 2022 . 2022 . Thirty Sixth Conference on Neural Information Processing Systems (NeurIPS 2022 ). Retrieved January 25, 2023 from https://neurips.cc/ NeurIPS 2022. 2022. Thirty Sixth Conference on Neural Information Processing Systems (NeurIPS 2022). Retrieved January 25, 2023 from https://neurips.cc/

2. Mohsen Abbasi , Sorelle A Friedler , Carlos Scheidegger , and Suresh Venkatasubramanian . 2019 . Fairness in representation: quantifying stereotyping as a representational harm . In Proceedings of the 2019 SIAM International Conference on Data Mining (SDM). Society for Industrial and Applied Mathematics, 801–809 . Mohsen Abbasi, Sorelle A Friedler, Carlos Scheidegger, and Suresh Venkatasubramanian. 2019. Fairness in representation: quantifying stereotyping as a representational harm. In Proceedings of the 2019 SIAM International Conference on Data Mining (SDM). Society for Industrial and Applied Mathematics, 801–809.

3. [ 3 ] Parity AI. 2023. Retrieved January 16 2023 from https://www.getparity.ai/ [3] Parity AI. 2023. Retrieved January 16 2023 from https://www.getparity.ai/

4. V. Albiero , K. W. Bowyer , K. Vangara , and M. C. King . 2020. Does Face Recognition Accuracy Get Better With Age? Deep Face Matchers Say No. In 2020 IEEE Winter Conference on Applications of Computer Vision (WACV). IEEE Computer Society , Los Alamitos, CA, USA, 250–258. https://doi.org/10.1109/WACV45572. 2020 .9093357 10.1109/WACV45572.2020.9093357 V. Albiero, K. W. Bowyer, K. Vangara, and M. C. King. 2020. Does Face Recognition Accuracy Get Better With Age? Deep Face Matchers Say No. In 2020 IEEE Winter Conference on Applications of Computer Vision (WACV). IEEE Computer Society, Los Alamitos, CA, USA, 250–258. https://doi.org/10.1109/WACV45572.2020.9093357

5. Joshua Albrecht , Abraham J Fetterman , Bryden Fogelman , Ellie Kitanidis , Bartosz Wróblewski , Nicole Seo , Michael Rosenthal , Maksis Knutins , Zachary Polizzi , James B Simon , 2022 . Avalon: A Benchmark for RL Generalization Using Procedurally Generated Worlds. Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks (2022). Joshua Albrecht, Abraham J Fetterman, Bryden Fogelman, Ellie Kitanidis, Bartosz Wróblewski, Nicole Seo, Michael Rosenthal, Maksis Knutins, Zachary Polizzi, James B Simon, 2022. Avalon: A Benchmark for RL Generalization Using Procedurally Generated Worlds. Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks (2022).

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