112年第2學期-0378 價值與文化：AI對齊問題的哲學探討 課程資訊

評分方式

評分項目	配分比例	說明
閱讀筆記與提問單	60	在每次上課前必須繳交閱讀文章重點與問題500字
個人/分組期末口頭報告	10	同儕互評與老師評分加總
參與和討論	10	含出席及參與課程討論

教育目標

本課程從不同哲學角度探討機器學習AI系統的對齊問題，其中包括知識論、形上學、認知道德哲學、倫理學、語言哲學，檢視AI開發者擬設計能理解並依循人類價值觀、道德和意向的AI系統可能面臨的挑戰和考量。

基本資料

選修課，學分數：0-1
上課時間：五/3,4[H207]
修課班級：哲學系2-4
修課年級：2年級以上
選課備註：密集授課，隔週授課，共9次，每次2小時

參考書目

1. Russell, S., & Norvig, P. (2021). Chap. 1 Introduction. In Artificial intelligence: A modern approach (4th ed.). University of California, Berkeley.
2. Christian, B. R. (2021). Introduction. In The alignment problem: Machine learning and human values. Norton, W. W. & Company, Inc.
3. Gabriel, I. (2020). Artificial intelligence, values, and alignment. Minds & Machines, 30, 411–437. https://doi.org/10.1007/s11023-020-09539-2
4. Christian, B. R. (2021). Chap. 1 Representation. In The alignment problem: Machine learning and human values. Norton, W. W. & Company, Inc.
5. Ratoff, W. (2021). Can the predictive processing model of the mind ameliorate the value-alignment problem? Ethics and Information Technology, 23, 739–750. https://doi.org/10.1007/s10676-021-09611-0
6. Russell, S. (2019). Chap. 7 AI: A different approach & Chapter 8 Provably beneficial AI & Chapter 10 Problem solved? In Human compatible: Artificial intelligence and the problem of control. Penguin.
7. Cruz, J. M. (2019). Shared moral foundations of embodied artificial intelligence. https://sites.williams.edu/jcruz/files/2019/04/AIEthics.pdf
8. Aligned with Whom? Direct and social goals for AI systems" by Anton Korinek, Avital Balwit (2022)
9. Kasirzadeh, A., & Gabriel, I. (2023). In conversation with artificial intelligence: Aligning language models with human values. Philosophy & Technology, 36(1), 27.https://doi.org/10.1007/s13347-023-00606-x