The Long March Towards AI Fairness
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Microsoft Research320 тыс
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16.12.22 – 1 0910:56Опубликовано 7 декабря 2022, 2:03
Research Talk
Rui Guo, Renmin University of China
To protect people from unfair treatment or discrimination, conventional wisdom from the legal academia points to certain protected factors or social group categories to identify and prevent prohibited behaviors or biases. This has caused problems in the context of Artificial Intelligence (AI). This talk uses an example of disability discrimination to highlight the role of stereotypes and the difficulty to achieve AI fairness. Dealing with stereotypes requires our deeper reflection on the problem of moral agency in AI.
Learn more about the Responsible AI Workshop: microsoft.com/en-us/research/e...
This workshop was part of the Microsoft Research Summit 2022: microsoft.com/en-us/research/e...
Rui Guo, Renmin University of China
To protect people from unfair treatment or discrimination, conventional wisdom from the legal academia points to certain protected factors or social group categories to identify and prevent prohibited behaviors or biases. This has caused problems in the context of Artificial Intelligence (AI). This talk uses an example of disability discrimination to highlight the role of stereotypes and the difficulty to achieve AI fairness. Dealing with stereotypes requires our deeper reflection on the problem of moral agency in AI.
Learn more about the Responsible AI Workshop: microsoft.com/en-us/research/e...
This workshop was part of the Microsoft Research Summit 2022: microsoft.com/en-us/research/e...
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