Identifying bias when sensitive attribute data is unavailable

The perils of automated decision-making systems are becoming increasingly apparent, with racial and gender bias documented in algorithmic hiring decisions, health care provision, and beyond. Decisions made by algorithmic systems may reflect issues with the historical data used to build them, and understanding discriminatory patterns in these systems can be a challenging task [1]. Moreover, … Continue reading “Identifying bias when sensitive attribute data is unavailable”

Regulations To Trust AI Are Here. And It’s a Good Thing.

This article was previously posted on Forbes. As artificial intelligence (AI) adoption grows, so do the risks of today’s typical black-box AI. These risks include customer mistrust, brand risk and compliance risk. As recently as last month, concerns about AI-driven facial recognition that was biased against certain demographics resulted in a PR backlash.  With customer protection … Continue reading “Regulations To Trust AI Are Here. And It’s a Good Thing.”