Skip to main content

Blog

Learn About Our Meetup

5000+ Members

MEETUPS

LEARN, CONNECT, SHARE

Join our meetup, learn, connect, share, and get to know your Toronto AI community. 

JOB POSTINGS

INDEED POSTINGS

Browse through the latest deep learning, ai, machine learning postings from Indeed for the GTA.

CONTACT

CONNECT WITH US

Are you looking to sponsor space, be a speaker, or volunteer, feel free to give us a shout.

[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
[link] [comments]