Amazon SageMaker Clarify: Machine Learning Bias Detection and Explainability in the Cloud
-
- Michaela Hardt
- Amazon Web Services, East Palo Alto, CA, USA
-
- Xiaoguang Chen
- Amazon Web Services, East Palo Alto, CA, USA
-
- Xiaoyi Cheng
- Amazon Web Services, East Palo Alto, CA, USA
-
- Michele Donini
- Amazon Web Services, Berlin, Germany
-
- Jason Gelman
- Amazon Web Services, East Palo Alto, CA, USA
-
- Satish Gollaprolu
- Amazon Web Services, East Palo Alto, CA, USA
-
- John He
- Amazon Web Services, East Palo Alto, CA, USA
-
- Pedro Larroy
- Amazon Web Services, East Palo Alto, CA, USA
-
- Xinyu Liu
- Amazon Web Services, East Palo Alto, CA, USA
-
- Nick McCarthy
- Amazon Web Services, Dallas, TX, USA
-
- Ashish Rathi
- Amazon Web Services, East Palo Alto, CA, USA
-
- Scott Rees
- Amazon Web Services, Seattle, WA, USA
-
- Ankit Siva
- Amazon Web Services, East Palo Alto, CA, USA
-
- ErhYuan Tsai
- Amazon Web Services, East Palo Alto, CA, USA
-
- Keerthan Vasist
- Amazon Web Services, East Palo Alto, CA, USA
-
- Pinar Yilmaz
- Amazon Web Services, East Palo Alto, CA, USA
-
- Muhammad Bilal Zafar
- Amazon Web Services, Berlin, Germany
-
- Sanjiv Das
- Amazon Web Services & Santa Clara University, East Palo Alto, CA, USA
-
- Kevin Haas
- Amazon Web Services, East Palo Alto, CA, USA
-
- Tyler Hill
- Amazon Web Services, East Palo Alto, CA, USA
-
- Krishnaram Kenthapadi
- Amazon Web Services, East Palo Alto, CA, USA
Journal
-
- Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data Mining
-
Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data Mining 2021-08-14
ACM