To make AI fair, here’s what we must learn to do
Mona Sloane, NYU Tandon adjunct professor and member of the Center for Responsible AI, addressed ways to make AI more equitable. Sloane brought up an important scandal that took place in 2013, where "The Dutch government used a software meant to predict which people were most likely to commit childcare-benefit fraud, however did not wait for proof before penalizing families. As a result, tens of thousands were needlessly impoverished, and more than 1,000 children were placed in foster care."
"Developers of artificial intelligence must learn to collaborate with social scientists and the people affected by its applications. ... The intent is to promote equity, accountability and transparency. ... There must be practical know-how on how to build AI so that it does not exacerbate social inequality," urged Sloane.