Identifying artificial intelligence “blind spots”

A new model identifies AI “blind spots” — instances where autonomous robots and driverless vehicles and have “learned” from training examples that don’t match what’s actually happening in the real world. The work as developed by MIT and Microsoft researchers.

Blind spots are inevitable, and recognizing them is invaluable. Organizational blind spots from a software architecture perspective

Diagnostics, Free Full-Text

How to Overcome Common EI Blind Spots for Leaders

How to Overcome AI Bias Techniques and Tools - Masaar

Are these Agile transformation blind spots holding you back? - Planview Blog

AI's Blind Spot: ChatGPT's Challenge with Detecting Its Own Kind

Reducing Blind Spots in Cybersecurity: 3 Ways Machine Learning Can Help - Blog

The Impact of Explainable AI on the Ability of Humans to Detect Blind Spots in AI, by Ido Leshem

Bridging the gaps in Barrett's esophagus care with artificial intelligence.

5 Ways to Find Your Blind Spots

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Five Blind Spots Solved Through Observability - Orange Matter

Steering Clear of Security Blind Spots: What SOCs Need to Know - Security News