I was recently invited as a panelist to discuss “Yinz and Machines” at a community event on AI adoption. The conversation took an unexpected turn when one panelist made an analogy that had the room buzzing: Using AI right now is a lot like high schoolers thinking about sex—everyone’s curious, no one’s quite sure what…
So, you already have a ML model (or are building one) and want to investigate options available to you for evaluating fairness metrics. Where do you start? If you are new to Fairness metrics, I strongly recommend the engaging and easy reading provided at MachinesGoneWrong to understand why it is so difficult to define fairness. At a…
Over the last few weeks, social justice topics have exploded across all media in light of recent unfortunate events in the United States. Hand-in-hand, the AI community has also seen a tremendous amount of conversation across multiple social media platforms on algorithmic bias and its implications. While social bias and AI bias are closely interlinked,…