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[Slideshare] Mitigating Unwanted Biases with Adversarial Learning 본문
[Slideshare] Mitigating Unwanted Biases with Adversarial Learning
Danbi Cho 2021. 4. 30. 13:49Title: 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