Automatically signaling quality? A study of the fairness-economic tradeoffs in reducing bias through AI/ML on digital platforms
Digital platforms have a widely-documented issue with bias, which can impact their bottom line via missed opportunities, bad publicity, or even legal action. There is evidence that bias decreases when a platform conveys a signal of quality for underrepresented groups. In this talk, Lauren Rhue from the Smith School of Business at the University of Maryland discusses the practicalities of implementing a fair and equitable designation of quality for crowdfunding projects with Kickstarter.com’s Projects We Love (PWL) badge and the potential economic tradeoffs.
For more on the Digital Initiative, check out digital.hbs.edu.
25 мар 2021