Ethical Principles for Web Machine Learning
As this page notes, "the Web Machine Learning Working Group has published a First Draft Note of its Ethical Principles for Web Machine Learning." It argues that web machine learning enables "millions of do-it-yourself web developers and aligns this technology with the decentralized web architecture ideal that minimizes single points of failure and single points of control." It then traces some of the typically central concerns, such as fairness and bias, and draws from the UNESCO guidelines for AI ethics. It offers a developing register of risks and mitigations, with the option to contribute to this via GitHub. Image: Wu, et al.
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