Accountability in an Algorithmic Society: Relationality, Responsibility, and Robustness in Machine Learning

Author:

Cooper A. Feder1,Moss Emanuel2,Laufer Benjamin3,Nissenbaum Helen4

Affiliation:

1. Department of Computer Science, Cornell University, USA

2. Data & Society, USA and Department of Information Science, Cornell Tech, USA

3. Department of Information Science, Cornell Tech, USA

4. Department of Information Science, Cornell University, USA

Funder

National Science Foundation

John D. and Catherine T. MacArthur Foundation

Publisher

ACM

Reference143 articles.

1. Martín Abadi Ashish Agarwal Paul Barham Eugene Brevdo Zhifeng Chen Craig Citro Greg S. Corrado Andy Davis Jeffrey Dean Matthieu Devin Sanjay Ghemawat Ian Goodfellow Andrew Harp Geoffrey Irving Michael Isard Yangqing Jia Rafal Jozefowicz Lukasz Kaiser Manjunath Kudlur Josh Levenberg Dandelion Mané Rajat Monga Sherry Moore Derek Murray Chris Olah Mike Schuster Jonathon Shlens Benoit Steiner Ilya Sutskever Kunal Talwar Paul Tucker Vincent Vanhoucke Vijay Vasudevan Fernanda Viégas Oriol Vinyals Pete Warden Martin Wattenberg Martin Wicke Yuan Yu and Xiaoqiang Zheng. 2015. TensorFlow: Large-Scale Machine Learning on Heterogeneous Systems. https://www.tensorflow.org/ Software available from tensorflow.org. Martín Abadi Ashish Agarwal Paul Barham Eugene Brevdo Zhifeng Chen Craig Citro Greg S. Corrado Andy Davis Jeffrey Dean Matthieu Devin Sanjay Ghemawat Ian Goodfellow Andrew Harp Geoffrey Irving Michael Isard Yangqing Jia Rafal Jozefowicz Lukasz Kaiser Manjunath Kudlur Josh Levenberg Dandelion Mané Rajat Monga Sherry Moore Derek Murray Chris Olah Mike Schuster Jonathon Shlens Benoit Steiner Ilya Sutskever Kunal Talwar Paul Tucker Vincent Vanhoucke Vijay Vasudevan Fernanda Viégas Oriol Vinyals Pete Warden Martin Wattenberg Martin Wicke Yuan Yu and Xiaoqiang Zheng. 2015. TensorFlow: Large-Scale Machine Learning on Heterogeneous Systems. https://www.tensorflow.org/ Software available from tensorflow.org.

2. Automated Vehicles and Manufacturer Responsibility for Accidents: A New Legal Regime for a New Era;Abraham S.;Virginia Law Review,2019

3. Auditing black-box models for indirect influence

4. Shruti Agarwal , Hany Farid , Yuming Gu , Mingming He , Koki Nagano , and Hao Li . 2019 . Protecting World Leaders Against Deep Fakes . In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops. IEEE , Long Beach, CA, 8. Shruti Agarwal, Hany Farid, Yuming Gu, Mingming He, Koki Nagano, and Hao Li. 2019. Protecting World Leaders Against Deep Fakes. In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops. IEEE, Long Beach, CA, 8.

5. An Auditing Imperative for Automated Hiring;Ajunwa Ifeoma;Harv. J.L. & Tech.,2021

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