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.

Five Blind Spots Solved Through Observability - Orange Matter

Researchers created a model that supplements 'blind spots' of artificial intelligence with feedback from humans. - GIGAZINE

What Is Responsible AI and Best Practices for Implementation

Hypotheses devised by AI could find 'blind spots' in research

Why authors need a professional book editor - Authors A.I.

Researchers created a model that supplements 'blind spots' of artificial intelligence with feedback from humans. - GIGAZINE

AI in RMF: 5 Key Insights [+4 Core Functions]

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

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

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

Bias and Ethical Concerns in Machine Learning

How to Overcome AI Bias Techniques and Tools - Masaar

Ethical Artificial Intelligence Standards To Improve Patient Outcomes