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datePast Year
subjectArtificial Intelligence
authorQuanta Magazine
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The Researcher Who Would Teach Machines to Be Fair
From ACM Opinion

The Researcher Who Would Teach Machines to Be Fair

Princeton computer scientist Arvind Narayanan uses quantitative methods to expose and correct the misuse of quantitative methods.

Machines Learn Better if We Teach Them the Basics
From ACM Opinion

Machines Learn Better if We Teach Them the Basics

A wave of research improves reinforcement learning algorithms by pre-training them as if they were human.

What Does It Mean to Align AI with Human Values?
From ACM Opinion

What Does It Mean to Align AI with Human Values?

Making sure our machines understand the intent behind our instructions requires understanding intelligence itself.

The AI Researcher Giving Her Field Its Bitter Medicine
From ACM Opinion

The AI Researcher Giving Her Field Its Bitter Medicine

Anima Anandkumar wants computer scientists to move beyond the matrix, among other challenges.

The Computer Scientist Challenging AI to Learn Better
From ACM Opinion

The Computer Scientist Challenging AI to Learn Better

Christopher Kanan is building algorithms that can continuously learn over time—the way people do.
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