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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

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

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

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.

Human-Centered Explainable AI and Social Transparency
From ACM Opinion

Human-Centered Explainable AI and Social Transparency

An interview with doctoral candidate Upol Ehsan, who researched human-centered explainable AI

The Father of Web3 Wants You to Trust Less
From ACM Opinion

The Father of Web3 Wants You to Trust Less

Gavin Wood believes decentralized technologies are the only hope of preserving liberal democracy

China's AI Dream and the AI 'Arms Race'
From ACM Opinion

China's AI Dream and the AI 'Arms Race'

Stanford postdoctoral fellow discusses research exploring impact of AI in a possible U.S.-China power transition

Self-Supervised Learning and Large Language Models
From ACM Opinion

Self-Supervised Learning and Large Language Models

Stanford PhD student discusses recent research on understanding, building, and controlling pre-trained models

Imagining AI's Potential for Good
From ACM Opinion

Imagining AI's Potential for Good

Kai-Fu Lee and Yoky Matsuoka discuss "human-in-the-loop" technology, and how AI might be used for health and caregiving

AI Is Not A-OK
From ACM Opinion

AI Is Not A-OK

Former Google CEO Eric Schmidt says humans will need to find a way to coexist with artificial intelligence

Henry Kissinger's Last Crusade: Stopping Dangerous AI
From ACM Opinion

Henry Kissinger's Last Crusade: Stopping Dangerous AI

Former secretary of state has a whole new area of interest: artificial intelligence

Artificial Intelligence Needs to Slow Down
From ACM Opinion

Artificial Intelligence Needs to Slow Down

Timnit Gebru believes the incentives around AI research are all wrong

Meta's Andrew Bosworth on Moving Facebook to the Metaverse
From ACM Opinion

Meta's Andrew Bosworth on Moving Facebook to the Metaverse

'The magnitude of technological shifts that we are trying to manifest here hasn't been attempted in a long time'

RL Benchmarking, Climate Impacts of AI, and AI for Law
From ACM Opinion

RL Benchmarking, Climate Impacts of AI, and AI for Law

Stanford JD-PhD candidate Peter Henderson talks about creating robust decision-making systems and ML methods that benefit society

Jeannette Wing: How Computing Has Transformed
From ACM Opinion

Jeannette Wing: How Computing Has Transformed

Data science expert talks about how trustworthy AI and causal reasoning can help society solve real-world problems

Meta Learning and Model-Based Reinforcement Learning
From ACM Opinion

Meta Learning and Model-Based Reinforcement Learning

Stanford professor Chelsea Finn talks about robotics and meta learning research

Timnit Gebru's Plan to Rethink Big Tech
From ACM Opinion

Timnit Gebru's Plan to Rethink Big Tech

Former Google AI ethics chief says whistleblowers working on AI need newer, better, tougher regulatory protections

Should Oversight of Biased AI Be Left Up to People?
From ACM Opinion

Should Oversight of Biased AI Be Left Up to People?

Mounting research shows humans may not be up to the task of reigning in runaway algorithms
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