Promoting Fairness in Learned Models by Learning to Active Learn under Parity Constraints
Amr Sharaf, Hal Daumé III, Renkun Ni
FAccT 2022 | June 2022
June 21, 2022 –
June 24, 2022
Microsoft at FAccT 2022
Korea Standard Time (UTC +9)
Lieu: Hybrid | Seoul, South Korea
Publications
Publications par année
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Disentangling the Components of Ethical Research in Machine Learning
Carolyn Ashurst, Solon Barocas, Rosie Campbell, Inioluwa Deborah Raji
FAccT 2022 | June 2022
Measuring the Carbon Intensity of AI in Cloud Instances
Remi Tachet des Combes, Erika Odmark, Will Buchanan
ACM Conference on Fairness, Accountability, and Transparency | June 2022
How Different Groups Prioritize Ethical Values for Responsible AI
Maurice Jakesch, Zana Buçinca, Saleema Amershi, Alexandra Olteanu
FAccT 2022 | May 2022
Trucks Don’t Mean Trump: Diagnosing Human Error in Image Analysis
J.D. Zamfirescu-Pereira, Jerry Chen, Emily Wen, Allison Koenecke, Nikhil Garg, Emma Pierson
FAccT 2022 | May 2022
Caring for Datasets: A Framework for Deprecating Datasets and Responsible Data Stewardship
Sasha Luccioni, Frances Corry, Hamsini Sridharan, Mike Ananny, Jason Schultz, Kate Crawford
FAccT 2022 | May 2022
Filtre par zone de recherche
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Promoting Fairness in Learned Models by Learning to Active Learn under Parity Constraints
Amr Sharaf, Hal Daumé III, Renkun Ni
FAccT 2022 | June 2022
Disentangling the Components of Ethical Research in Machine Learning
Carolyn Ashurst, Solon Barocas, Rosie Campbell, Inioluwa Deborah Raji
FAccT 2022 | June 2022
Measuring the Carbon Intensity of AI in Cloud Instances
Remi Tachet des Combes, Erika Odmark, Will Buchanan
ACM Conference on Fairness, Accountability, and Transparency | June 2022
How Different Groups Prioritize Ethical Values for Responsible AI
Maurice Jakesch, Zana Buçinca, Saleema Amershi, Alexandra Olteanu
FAccT 2022 | May 2022
Caring for Datasets: A Framework for Deprecating Datasets and Responsible Data Stewardship
Sasha Luccioni, Frances Corry, Hamsini Sridharan, Mike Ananny, Jason Schultz, Kate Crawford
FAccT 2022 | May 2022
-
Trucks Don’t Mean Trump: Diagnosing Human Error in Image Analysis
J.D. Zamfirescu-Pereira, Jerry Chen, Emily Wen, Allison Koenecke, Nikhil Garg, Emma Pierson
FAccT 2022 | May 2022
-
How Different Groups Prioritize Ethical Values for Responsible AI
Maurice Jakesch, Zana Buçinca, Saleema Amershi, Alexandra Olteanu
FAccT 2022 | May 2022
Trucks Don’t Mean Trump: Diagnosing Human Error in Image Analysis
J.D. Zamfirescu-Pereira, Jerry Chen, Emily Wen, Allison Koenecke, Nikhil Garg, Emma Pierson
FAccT 2022 | May 2022
-
Measuring the Carbon Intensity of AI in Cloud Instances
Remi Tachet des Combes, Erika Odmark, Will Buchanan
ACM Conference on Fairness, Accountability, and Transparency | June 2022
Publication Type
-
Promoting Fairness in Learned Models by Learning to Active Learn under Parity Constraints
Amr Sharaf, Hal Daumé III, Renkun Ni
FAccT 2022 | June 2022
Disentangling the Components of Ethical Research in Machine Learning
Carolyn Ashurst, Solon Barocas, Rosie Campbell, Inioluwa Deborah Raji
FAccT 2022 | June 2022
Measuring the Carbon Intensity of AI in Cloud Instances
Remi Tachet des Combes, Erika Odmark, Will Buchanan
ACM Conference on Fairness, Accountability, and Transparency | June 2022
How Different Groups Prioritize Ethical Values for Responsible AI
Maurice Jakesch, Zana Buçinca, Saleema Amershi, Alexandra Olteanu
FAccT 2022 | May 2022
Trucks Don’t Mean Trump: Diagnosing Human Error in Image Analysis
J.D. Zamfirescu-Pereira, Jerry Chen, Emily Wen, Allison Koenecke, Nikhil Garg, Emma Pierson
FAccT 2022 | May 2022
Caring for Datasets: A Framework for Deprecating Datasets and Responsible Data Stewardship
Sasha Luccioni, Frances Corry, Hamsini Sridharan, Mike Ananny, Jason Schultz, Kate Crawford
FAccT 2022 | May 2022