The AI History That Explains Fears of a Bubble

The history of AI shows how setting evaluation standards fueled progress. But today's LLMs are asked to do tasks without clear benchmarks.
Forbes

AI Development Needs More Women. Here’s What Leaders Can Do About It

The gender gap in generative AI isn’t just about who uses the tools—it’s also about who builds them. AI developers make crucial decisions—designing models, selecting training data, determining data ...
Her Agenda on MSN

Beyond the glass ceiling and navigating the new algorithm bias in AI hiring

Artificial intelligence is widely heralded as a way to modernize hiring — promising speed, neutrality, and objectivity. However, emerging research reveals that AI recruitment tools can replicate and ...
Forbes

Learning The Most Rigorous Approaches To Validating Algorithms And Greatly Boosting AI Safety

Forbes contributors publish independent expert analyses and insights. Dr. Lance B. Eliot is a world-renowned AI scientist and consultant. In today’s column, I examine the importance of performing ...
Post-Bulletin

With almost 100 algorithms in use, Mayo Clinic aims to build AI 'into the fabric of Mayo'

ROCHESTER — At Mayo Clinic's annual AI Summit in downtown Rochester, a group of physicians and scientists discussed how generative artificial intelligence is being used at Mayo Clinic — and how it's ...