Amazon's AI tool, for example, was trained on resumes from a male-dominated industry, which led to gender bias. 2. Flawed data sampling. Flawed data sampling occurs when the dataset used to train an ...

Yonah Welker is an explorer and board member at Yonah.ai /.org, EU Commission Projects working to shape the future of algorithmic diversity. Similar to how AI systems may discriminate against people ...

Our recent paper in Science showed that an algorithm widely used for population health management has significant racial bias. The scale of impact is large, affecting health care decisions for at ...

AI-driven decision tools are increasingly determining what post-acute care services patients receive, and what they don’t. As a health tech CEO working with hospitals, skilled nursing facilities (SNFs ...

A public interest group filed a U.S. federal complaint against artificial intelligence hiring tool, HireVue, in 2019 for deceptive hiring practices. The software, which has been adopted by hundreds of ...

Health systems rely on commercial prediction algorithms to identify and help patients with complex health needs. We show that a widely used algorithm, typical of this industry-wide approach and ...