As the problems caused by algorithmic bias have bubbled to the surface,ย experts have proposedย all sorts of solutionsย on how to make artificial intelligence more fair and transparent so that it works for everyone.
โฆ
Nowย scientists from IBMย have a new safeguard that they say will make artificial intelligence more safe, transparent, fair, and effective. They propose that, right before developers start selling an algorithm, they should publishย a Supplierโs Declaration of Conformityย (SDoC). As a report or user manual, the SDoC would show how well the algorithm performed at standardized tests of performance, fairness and risk factors, and safety measures. And they should make it available to anyone whoโs interested.
In aย research paper published [August 22], the IBM scientists argue that this kind of transparency could help build public trust and reassure prospective clients that a particular algorithm will do what itโs supposed to without screwing anyone over based on biased training data.
โฆ
Share this article
Will a police department like the LAPD, which has usedย blatantly racist policing algorithmsย in the past, necessarily care enough about the details of an SDoC to find a better system? Truth is, we donโt know yet.
…
But if you combine these reports with other tools like third-party audits, the public can demand algorithms that treat everyone fairly.
Read full, original post:ย To Build Trust In Artificial Intelligence, IBM Wants Developers To Prove Their Algorithms Are Fair
