Presentation information

General Session

General Session » GS-2 Machine learning

[3G2-GS-2h] 機械学習:推論

Thu. Jun 10, 2021 11:00 AM - 12:40 PM Room G (GS room 2)

座長:黒木 隆之(VOYAGE GROUP)

11:00 AM - 11:20 AM

[3G2-GS-2h-01] Preliminary Investigation on the Stability of Bias-aware Classifiers

〇Toshihiro Kamishima1, Shotaro Akaho1, Yukino Baba2, Hisashi Kashima3 (1. National Institute of Advanced Industrial Science and Technology (AIST), 2. University of Tsukuba, 3. Kyoto University)

Keywords:crowdsourcing, causal inference, AI ethics

We here discuss a bias-aware classifier, which is designed to predict a class while removing the bias caused by the influence of specific information. Such type of classifiers are used for, say, taking fairness into account by removing socially sensitive information. We define the stability of such bias-aware classifiers as how similar predictions are made from the same information other than the bias-source information to be removed. We report the stability on the datasets that is influenced by different kinds of cognitive biases, collected through a crowdsourcing service.

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