「演算法時代下的規範與程序正義」(Regulation and Due Process in the Era of the Algorithm)
In an era where big data prevails, tech firms and financial sectors poured themselves into the maniac of mass data collection. No rigid reason needed -- quantity is all that matters when the miraculous algorithms came to turn data into digital gold. However, as automatic systems took over from credit reporting, social media timeline arrangement, search engine result ranking to the extent of spotting anti-terrorism suspects, the tech industry found themselves impossible to shrug off responsibilities by claiming their results “machine learning magic.”
Despite the threat of mass data collection and “black box” algorithms sitting at the core of governmental and commercial activities, regulators are not underequipped to solve the problem. The talk would address human factors affecting different aspects of machine learning algorithms, the relevant social issues, and potential regulation directions. (https://coscup.org/2020/zh-TW/agenda/7ALFQQ)
Remote Talk @ COSCUP 2020, National Taiwan University of Science & Technology (NTUST), Taipei, Taiwan.
RSChiang @ COSCUP 2020 Slide CC BY-SA 4.0
「人工智慧」 ≈ 自動化決策系統
以 ML 為出發點思考，環節無非為
販售：資料盤商 (data broker)
規則 (rule) vs. 標準 (standard)
正當程序 (due process) 作為解方
Restructuring a Black Box Society:
Regulation and Due Process in the Era of the Algorithm
RSChiang (Poren Chiang) @ COSCUP 2020
E-mail: [email protected]
Frank Pasquale, THE BLACK BOX SOCIETY (2015).
Danielle Keats Citron, Technological Due Process, 85 WASH. U. L. REV. 1249 (2008).
Slide released under CC BY-SA 4.0.