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Peering into the Black Box of Machine-Learning Algorithms
From ACM Opinion

Peering into the Black Box of Machine-Learning Algorithms

NBC correspondent's new book explores long-term dangers of using "behavior design" to hook users

Machine-Learning Robustness, Foundation Models, and Reproducibility
From ACM Opinion

Machine-Learning Robustness, Foundation Models, and Reproducibility

An interview with Percy Liang, associate professor of Computer Science at Stanford University

The Rise and Fall (and Rise) of Datasets
From ACM Opinion

The Rise and Fall (and Rise) of Datasets

Retired and redacted datasets flagged as harmful or biased continue to rear their ugly heads

David Chalmers: Virtual Reality Is as Real as Real Reality
From ACM Opinion

David Chalmers: Virtual Reality Is as Real as Real Reality

Philosopher explains how virtual worlds shed light on questions such as what is reality and are we living in a simulation

Considering 'Creatively Adequate' AI
From ACM Opinion

Considering 'Creatively Adequate' AI

The future of artificial intelligence needs less data and can tolerate ambiguity

Why Is Silicon Valley Still Waiting for the Next Big Thing?
From ACM Opinion

Why Is Silicon Valley Still Waiting for the Next Big Thing?

Have the big thinkers of tech lost their mojo?

Open Source Intelligence
From ACM Opinion

Open Source Intelligence

Averting strategic surprises requires uncovering secrets hidden in plain sight

The Turing Trap
From ACM Opinion

The Turing Trap

The promise and peril of human-like artificial intelligence

Facebook's Unglamorous Mistakes
From ACM Opinion

Facebook's Unglamorous Mistakes

Facebook's little mistakes have big consequences, too, but only for us

Is LiDAR on Its Way Out?
From ACM Opinion

Is LiDAR on Its Way Out?

As automation proliferates, sensing is increasingly moving toward software and away from LiDAR

The Age of AI-ism
From ACM Opinion

The Age of AI-ism

Is artificial intelligence an existenstial risk to humanity?

Why Better AI May Depend on Fake Data
From ACM Opinion

Why Better AI May Depend on Fake Data

Synthetic data can provide AI with a broader education than real-world data, but challenges exist

Dems Will Probably Miss Chance to Shape Crypto Regulation
From ACM Opinion

Dems Will Probably Miss Chance to Shape Crypto Regulation

Both houses of Congress are back in session with a packed agenda, and way down on that priority list is regulating crypto

I Am Therefore I Think
From ACM Opinion

I Am Therefore I Think

Scientists say social interaction is 'the dark matter of AI'

The Dangers of Treating AI like a God
From ACM Opinion

The Dangers of Treating AI like a God

We should be more critical of those making decisions about how AI is used, says anthropologist Beth Singler

Robot Learning at Google and Generalization via Language
From ACM Opinion

Robot Learning at Google and Generalization via Language

Google Robotics research scientist Eric Jang talks about robotic manipulation and self-supervised robotic learning

Individual AI, a New Technology that Will Change Our World?
From ACM Opinion

Individual AI, a New Technology that Will Change Our World?

Is the next version of AI a technological symbiosis of the human brain and the computer system?

Deep Learning Can't Be Trusted
From ACM Opinion

Deep Learning Can't Be Trusted

Brain modeling pioneer Stephen Grossberg explains why his ART model is better

Crypto Means Freedom to Garry Kasparov
From ACM Opinion

Crypto Means Freedom to Garry Kasparov

The chess grandmaster expects a basket of coins to replace the dollar within a decade.

Does AI Understand Our Language?
From ACM Opinion

Does AI Understand Our Language?

Can large language models teach us about the nature of language, understanding, intelligence, sociality, and personhood?
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