Tuesday, February 18, 2020

Opening the AI Black Box with Explainable AI

People are calling upon AI to make life-or-death decisions. In such situations, explainability is absolutely critical. It’s no surprise, therefore, that the US Department of...

IBM Research into Explainable AI Has Goal of Ensuring Trustworthy Systems

Artificial intelligence could advance science in dramatic ways, but beyond the technical challenges, one of the hurdles is cultural. We must trust the systems...

Need to Build Trustworthy AI Systems Gains Importance as AI Progresses

By John P. Desmond, Editor, AI Trends The push is on to build trusted AI systems with an eye toward instilling confidence that results will...

2020 AI Predictions: Black Box Cloud Seen Lifting, RPA in Enterprise, AI at Work...

By AI Trends Staff We invited readers to submit their top predictions for the impact of AI on business in 2020. Here is a selection...

CognitiveScale Announces Cortex Certifai to Help Build Trust in AI Models

By AI Trends Staff CognitiveScale this week announced an AI vulnerability detection and risk management product that includes a Trust Index, developed in collaboration with AI...

Spotlight on Black Box: Who to Sue When a Robot Loses Your Fortune

Robots are getting more humanoid every day, but they still can’t be sued. So a Hong Kong tycoon is doing the next best thing. He’s...

People-Centered Design For Deep Learning

In an MIT Sloan Management Review article published last week, David A. Bray and Ray Wang outline the challenges ahead for incorporating people-centered design...

What Does an AI Ethicist Do? A Chat with Microsoft’s Tim O’Brien

By Thomas H. Davenport, Professor of IT and Management at Babson College Microsoft was one of the earliest companies to begin discussing and advocating for an...

Executive Interview: Jordan Jacobs, Chief AI Officer, TD Bank Group

He co-founded Vector Institute to help keep AI talent in Canada, is Applying deep learning to enterprise data within TD Bank, And is delivering...






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