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[D] Counterfactual Explanations

I came across the paper of Wachter, Mittelstadt, et al, who propose Counterfactual Explanations as remedy against the opacity of ML decision-making (see e.g. https://arxiv.org/abs/1711.00399 or https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3278331).

I am a lawyer myself and cannot assess the technical feasibility of this approach. How would you, Ml experts, evaluate their idea? I am really looking forward to your thoughts and insights.

(If this was already subject to discussion elsewhere please kindly direct me to the post).

submitted by /u/Everdream13
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Toronto AI is a social and collaborative hub to unite AI innovators of Toronto and surrounding areas. We explore AI technologies in digital art and music, healthcare, marketing, fintech, vr, robotics and more. Toronto AI was founded by Dave MacDonald and Patrick O'Mara.