| On the opportunities and risks of foundation models R Bommasani, DA Hudson, E Adeli, R Altman, S Arora, S von Arx, ... arXiv preprint arXiv:2108.07258, 2021 | 248 | 2021 |
| Learning controllable fair representations J Song, P Kalluri, A Grover, S Zhao, S Ermon The 22nd International Conference on Artificial Intelligence and Statistics …, 2019 | 106 | 2019 |
| Don’t ask if artificial intelligence is good or fair, ask how it shifts power P Kalluri Nature 583 (7815), 169-169, 2020 | 94 | 2020 |
| The values encoded in machine learning research A Birhane, P Kalluri, D Card, W Agnew, R Dotan, M Bao 2022 ACM Conference on Fairness, Accountability, and Transparency, 173-184, 2022 | 29 | 2022 |
| Dallas Card, William Agnew, Ravit Dotan, and Michelle Bao. 2021. The values encoded in machine learning research A Birhane, P Kalluri arXiv preprint arXiv:2106.15590, 2021 | 17 | 2021 |
| Dallas Card, William Agnew, Ravit Dotan, and Michelle Bao. 2021 A Birhane, P Kalluri The Underlying Values of Machine Learning Research. Resistance AI Workshop …, 2020 | 6 | 2020 |
| Affinity-based Interpretation of Triangle Social Scenarios. P Kalluri, P Gervás ICAART (2), 640-647, 2017 | 1 | 2017 |
| Inducing Schizophrenia in an Artificially Intelligent Story-Understanding System P Kalluri, PH Winston | | 2018 |
