拯救人臉識別:人臉識別審計的倫理問題研究（Computers and Society）
- 2020 年 1 月 8 日
- 筆記
儘管披露有偏見的績效是必要的，但出於好意的演算法審計嘗試，可能會對這些措施旨在保護的人群造成傷害。在審核面部識別等生物識別系統時，這種擔憂甚至更為突出。在這些系統中，數據是敏感的，而且該技術常常被用於道德上出現問題的行為。我們在審計商業面部處理技術的特定案例中展示了五種倫理擔憂，強調了審計師需要意識到的額外設計考慮和倫理緊張，以避免加劇或補充被審計系統所傳播的危害。我們進一步提供了這些問題的具體說明，並通過反思這些問題對演算法審計的作用和它們所揭示的基本產品限制的意義來得出結論。
原文標題：Computers and Society：Saving Face: Investigating the Ethical Concerns of Facial Recognition Auditing
Although essential to revealing biased performance, well intentioned attempts at algorithmic auditing can have effects that may harm the very populations these measures are meant to protect. This concern is even more salient while auditing biometric systems such as facial recognition, where the data is sensitive and the technology is often used in ethically questionable manners. We demonstrate a set of five ethical concerns in the particular case of auditing commercial facial processing technology, highlighting additional design considerations and ethical tensions the auditor needs to be aware of so as not exacerbate or complement the harms propagated by the audited system. We go further to provide tangible illustrations of these concerns, and conclude by reflecting on what these concerns mean for the role of the algorithmic audit and the fundamental product limitations they reveal.
原文作者：Inioluwa Deborah Raji,Timnit Gebru,Margaret Mitchell,Joy Buolamwini,Joonseok Lee,Emily Denton
原文地址：https://arxiv.org/abs/2001.00964
