Censoring Representations with an Adversary · HackerPapers discussions

Censoring Representations with an Adversary — mentioned by Smerity

Tue, 19 Jul 2016 07:14:56 GMT

The European Union are likely to accelerate much of this type of research. They recently introduced regulations specifically targeting algorithmic decision-making and a "right to explanation" for automated decisions. There's a Wired article[1] on the general scene and a paper that investigates the impact it may have on the industry[2]. Regarding differential discrimination, check out these two papers[3][4] - they're very similar to your idea :) [1]: http://www.wired.com/2016/07/artificial-intelligence-setting... [2]: http://arxiv.org/abs/1606.08813v2 [3]: http://arxiv.org/abs/1511.05897 [4]…

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Censoring Representations with an Adversary — mentioned by Smerity

Tue, 19 Jul 2016 06:44:45 GMT

The issue is not whether justice can be codified. Let us assume that you can and it's outlined on page 3 of your document. Providing examples to an ML model don't guarantee it will codify anything similar to that. This is a fundamental issue. Most machine learning models aren't highly interpretable and can also act in unexpected ways. Re: (a) variables with a low correlation to race / (b) dishonest about how much ML systems can "infer hidden variables": (b) The example you point to is specifically adversarial modification to the input data. I'm not sure how that's relevant to your point at…

Paper and discussion history. A mention is not an endorsement.