AIの合理性と人間–AI系の合理性を目指す信頼較正

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Published in認知科学 Vol. 29; no. 3; pp. 364 - 370
Main Author 山田, 誠二
Format Journal Article
LanguageJapanese
Published 日本認知科学会 01.09.2022
Subjects
人工知能
人間–AI 協調意思決定
信頼較正
合理性
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ISSN1341-7924
1881-5995
DOI10.11225/cs.2022.034

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Author 山田, 誠二
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References Okamura, K., & Yamada, S. (2018). Adaptive trust calibration for supervised autonomous vehicles. Proceedings of the Tenth International Conference on Automotive User Interfaces and Interactive Vehicular Applications (Auto motiveUI’18), 92–97. https://doi.org/10.1145/3239092.3265948
本多 淳也・中村 篤祥 (2016). バンディット問題の理論とアルゴリズム　講談社
Kim, D. J., Ferrin, D. L., & Rao, H. R. (2008). A trustbased consumer decision-making model in electronic commerce: The role of trust, perceived risk, and their antecedents. Decision Support Systems, 44 (2), 544–564. http://dx.doi.org/10.1016/j.dss.2007.07.001
Okamura, K., & Yamada, S. (2020d). Empirical evaluations of framework for adaptive trust Calibration in Human-AI Cooperation. IEEE Access, 1–18. https://doi.org/10.1109/access.2020.3042556
Okamura, K., & Yamada, S. (2020c). Calibrating trust in human-drone cooperative navigation. Proceedings of the 2020 29th IEEE International Conference on Robot and Human Interactive Communication (RO-MAN2022), 1274–1279. https://doi.org/10.1109/ro-man47096.2020.9223509
寺田 和憲・山田, 誠二 (2019). 適応アルゴリズム理解における認知バイアスの実験的検討　人工知能学会論文誌, 34 (4), A–I72_1–9. https://doi.org/10.1527/tjsai.A-I72
Ezer, N., Bruni, S., Cai, Y., Hepenstal, S. J., Miller, C. A., & Schmorrow, D. D. (2019). Trust engineering for human-AI teams. Proceedings of the Human Factors and Ergonomics Society Annual Meeting, 63 (1), 322– 326. https://doi.org/10.1177/1071181319631264
Gebru, B., Zeleke, L., Blankson, D., Nabil, M., Nateghi, S., Homaifar, A., & Tunstel, E. (2022). A review on human–machine trust evaluation: Human-centric and machine-centric perspectives. IEEE Transactions on Human-Machine Systems, 1–11. https://doi.org/10.1109/thms.2022.3144956
Nakahashi, R., & Yamada, S. (2021). Balancing performance and human autonomy with implicit guidance agent. Frontiers in Artificial Intelligence, Article 4. https://doi.org/10.3389/frai.2021.736321
鈴木 宏昭 (2020). 認知バイアス：心に潜むふしぎな働き　森北出版
Koh, P. W., & Liang, P. (2017). Understanding black-box predictions via influence functions. Proceedings of the 34th International Conference on Machine Learning.
Okamura, K., & Yamada, S. (2020b). Calibrating trust in autonomous systems in a dynamic environment. Proceedings of the 42nd Annual Meeting of the Cognitive Science Society (CogSci 2020), 2492–2498.
牧野 貴樹・澁谷 長史・白川 真一 (編著) (2016). これからの強化学習　森北出版
Okamura, K., & Yamada, S. (2020a). Adaptive trust calibration for human-AI collaboration. PLOS ONE,15 (2), e0229132. https://doi.org/10.1371/journal.pone.0229132
菅原 通代・片平 健太郎 (2019). 強化学習における認知バイアスと固執性：選択行動を決めているのは過去の “選択の結果” か “選択そのもの” か？基礎心理学研究, 38 (1), 48–55. https://doi.org/10.14947/psychono.38.5
Sutton, R. S., & Barto, A. G. (1998). Reinforcement learning: An introduction. MIT Press. (サットン, R. S.・バルト, A. G. 　三上 貞芳・皆川 雅章 (訳) (2000). 強化学習　森北出版)
Auer, P., Cesa-Bianchi, N., & Fischer, P. (2002). Finite-time analysis of the multiarmed bandit problem. Machine Learning, 47 (2–3), 235–256. https://doi.org/10.1023/A:1013689704352
Kim, W., Kim, N., Lyons, J. B., & Nam, C. S. (2020). Factors affecting trust in high-vulnerability human-robot interaction contexts: A structural equation modelling approach. Applied Ergonomics, 85, 103056. https://doi.org/10.1016/j.apergo.2020.103056
Hang, C., Ono, T., & Yamada, S. (2021). Designing nudge agents that promote human altruism. Proceedings of the Thirteenth International Conference on Social Robotics (ICSR), 375–385. https://doi.org/10.1007/978-3-030-90525-5_32
小野 哲雄 (2019). ナッジエージェント：人をウェルビーイングへと導く環境知能システム　第33回人工知能学会全国大会論文集. https://doi.org/10.11517/pjsai.JSAI2020.0_3J1OS9a01
山岸 俊男 (1998). 信頼の構造：こころと社会の進化ゲーム　東京大学出版会
References_xml – reference: Auer, P., Cesa-Bianchi, N., & Fischer, P. (2002). Finite-time analysis of the multiarmed bandit problem. Machine Learning, 47 (2–3), 235–256. https://doi.org/10.1023/A:1013689704352
– reference: Okamura, K., & Yamada, S. (2020c). Calibrating trust in human-drone cooperative navigation. Proceedings of the 2020 29th IEEE International Conference on Robot and Human Interactive Communication (RO-MAN2022), 1274–1279. https://doi.org/10.1109/ro-man47096.2020.9223509
– reference: Gebru, B., Zeleke, L., Blankson, D., Nabil, M., Nateghi, S., Homaifar, A., & Tunstel, E. (2022). A review on human–machine trust evaluation: Human-centric and machine-centric perspectives. IEEE Transactions on Human-Machine Systems, 1–11. https://doi.org/10.1109/thms.2022.3144956
– reference: 鈴木 宏昭 (2020). 認知バイアス：心に潜むふしぎな働き　森北出版)
– reference: Okamura, K., & Yamada, S. (2018). Adaptive trust calibration for supervised autonomous vehicles. Proceedings of the Tenth International Conference on Automotive User Interfaces and Interactive Vehicular Applications (Auto motiveUI’18), 92–97. https://doi.org/10.1145/3239092.3265948
– reference: Okamura, K., & Yamada, S. (2020b). Calibrating trust in autonomous systems in a dynamic environment. Proceedings of the 42nd Annual Meeting of the Cognitive Science Society (CogSci 2020), 2492–2498.
– reference: 菅原 通代・片平 健太郎 (2019). 強化学習における認知バイアスと固執性：選択行動を決めているのは過去の “選択の結果” か “選択そのもの” か？基礎心理学研究, 38 (1), 48–55. https://doi.org/10.14947/psychono.38.5
– reference: Hang, C., Ono, T., & Yamada, S. (2021). Designing nudge agents that promote human altruism. Proceedings of the Thirteenth International Conference on Social Robotics (ICSR), 375–385. https://doi.org/10.1007/978-3-030-90525-5_32
– reference: 山岸 俊男 (1998). 信頼の構造：こころと社会の進化ゲーム　東京大学出版会
– reference: Nakahashi, R., & Yamada, S. (2021). Balancing performance and human autonomy with implicit guidance agent. Frontiers in Artificial Intelligence, Article 4. https://doi.org/10.3389/frai.2021.736321
– reference: 寺田 和憲・山田, 誠二 (2019). 適応アルゴリズム理解における認知バイアスの実験的検討　人工知能学会論文誌, 34 (4), A–I72_1–9. https://doi.org/10.1527/tjsai.A-I72
– reference: Koh, P. W., & Liang, P. (2017). Understanding black-box predictions via influence functions. Proceedings of the 34th International Conference on Machine Learning.
– reference: 小野 哲雄 (2019). ナッジエージェント：人をウェルビーイングへと導く環境知能システム　第33回人工知能学会全国大会論文集. https://doi.org/10.11517/pjsai.JSAI2020.0_3J1OS9a01
– reference: Sutton, R. S., & Barto, A. G. (1998). Reinforcement learning: An introduction. MIT Press. (サットン, R. S.・バルト, A. G. 　三上 貞芳・皆川 雅章 (訳) (2000). 強化学習　森北出版)
– reference: 本多 淳也・中村 篤祥 (2016). バンディット問題の理論とアルゴリズム　講談社
– reference: Okamura, K., & Yamada, S. (2020a). Adaptive trust calibration for human-AI collaboration. PLOS ONE,15 (2), e0229132. https://doi.org/10.1371/journal.pone.0229132
– reference: Kim, W., Kim, N., Lyons, J. B., & Nam, C. S. (2020). Factors affecting trust in high-vulnerability human-robot interaction contexts: A structural equation modelling approach. Applied Ergonomics, 85, 103056. https://doi.org/10.1016/j.apergo.2020.103056
– reference: Kim, D. J., Ferrin, D. L., & Rao, H. R. (2008). A trustbased consumer decision-making model in electronic commerce: The role of trust, perceived risk, and their antecedents. Decision Support Systems, 44 (2), 544–564. http://dx.doi.org/10.1016/j.dss.2007.07.001
– reference: 牧野 貴樹・澁谷 長史・白川 真一 (編著) (2016). これからの強化学習　森北出版
– reference: Ezer, N., Bruni, S., Cai, Y., Hepenstal, S. J., Miller, C. A., & Schmorrow, D. D. (2019). Trust engineering for human-AI teams. Proceedings of the Human Factors and Ergonomics Society Annual Meeting, 63 (1), 322– 326. https://doi.org/10.1177/1071181319631264
– reference: Okamura, K., & Yamada, S. (2020d). Empirical evaluations of framework for adaptive trust Calibration in Human-AI Cooperation. IEEE Access, 1–18. https://doi.org/10.1109/access.2020.3042556
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SubjectTerms 人工知能
人間–AI 協調意思決定
信頼較正
合理性
Title AIの合理性と人間–AI系の合理性を目指す信頼較正
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Volume 29
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