4 ms·
I wonder if it's possible to audit AI for discriminatory practices. Of course this would require a completely different set of legal processes (needing access t
by SolaceQuantum 7y ago
I wonder if it's possible to audit AI for discriminatory practices. Of course this would require a completely different set of legal processes (needing access to the algorithm, needing access to enough data to prove a bias) that could take decades to implement in a way that covers even a slim majority of applicable, obvious cases like race, sex, pregnancy status, religion, nation of origin, veteran status, and age.
Decades of the bar being just that much higher for the disadvantaged demographic. Potentially, a generation of disenfranchisement, which we know has generational effects. (The USA arguably still hasn't 'recovered' from segregation's economic effects on the populace)
- naniwaduni 7y agoThis would require it to be generally possible to audit AI at all, which would be a nice problem to solve.
- big_chungus 7y agoDARPA has this same problem; most people aren't just willing to "trust the machine", and it's hard to know where it went wrong, how to improve it, or who messed up without it. See XAI: https://www.darpa.mil/program/explainable-artificial-intelligence https://www.darpa.mil/program/explainable-artificial-intelli...
- dredmorbius 7y agoGiven that AI are often not explanatory (see my earlier comment in this subthread), access to the algorithm may not be strictly necessary. Though the ability to black-box test it against a wide range of possible inputs might be a good thing to aim for.
- fucking_tragedy 7y agoAll the EEOC would need to do is to prove that there is disparate impact[1] based solely on the hiring outcomes of companies using AI to hire. This is what they already do. [1] https://en.wikipedia.org/wiki/Disparate_impact https://en.wikipedia.org/wiki/Disparate_impact