NLP/AI/Statistics

[Slideshare] Mitigating Unwanted Biases with Adversarial Learning 본문

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[Slideshare] Mitigating Unwanted Biases with Adversarial Learning

Danbi Cho 2021. 4. 30. 13:49

Title: Mitigating unwanted biases with adversarial learning

Authors: Zhang, B.H., Lemoine, B., and Mitchell, M.

Published: In Proceedings of the 2018 AAAI/ACM Conference on AI, Ethics and Society, pp. 335-340, 2018.

Paper: dl.acm.org/doi/abs/10.1145/3278721.3278779

 

Mitigating Unwanted Biases with Adversarial Learning | Proceedings of the 2018 AAAI/ACM Conference on AI, Ethics, and Society

ABSTRACT Machine learning is a tool for building models that accurately represent input training data. When undesired biases concerning demographic groups are in the training data, well-trained models will reflect those biases. We present a framework for m

dl.acm.org

 

Slideshare: https://www.slideshare.net/DanbiCho2/mitigating-unwanted-biases-with-adversarial-learning

 

Mitigating unwanted biases with adversarial learning

The presentation describes the AI bias with adversarial learning. It includes the AI Fairness 360 open source by IBM. I presented this paper in the natural lan…

www.slideshare.net

 

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