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Yoshua Bengio: 'I Have Rarely Been as Enthusiastic about a New Research Direction'
From ACM Opinion

Yoshua Bengio: 'I Have Rarely Been as Enthusiastic about a New Research Direction'

Yoshua Bengio gushes about GFlowNets, calling them "a new beast" for which the appropriate optimization algorithms are still making rapid progress

Meta's Yann LeCun on His Vision for Human-level AI
From ACM Opinion

Meta's Yann LeCun on His Vision for Human-level AI

Rather than try to replace natural intelligence, create AI that is compatible with human intelligence

Europe Is in Danger of Using the Wrong Definition of AI
From ACM Opinion

Europe Is in Danger of Using the Wrong Definition of AI

Some intelligent systems are at risk of being excluded from oversight in the EU's proposed legislation

Intelligence and Comprehension
From ACM Opinion

Intelligence and Comprehension

What does it mean to say a computer model 'understands'?

Deep Learning Is a Bad Idea for Security
From ACM Opinion

Deep Learning Is a Bad Idea for Security

Deep learning must address some major issues before AI can scale more widely into security applications

Human Autonomy in the Age of AI
From ACM Opinion

Human Autonomy in the Age of AI

Current AI policy recommendations differ on what the risks to human autonomy are

Who Gets to Decide if an AI Is Alive?
From ACM Opinion

Who Gets to Decide if an AI Is Alive?

We need a Turing Test for consciousness that works for modern AI

Is a Privacy Crisis Experienced, a Privacy Crisis Avoided?
From Communications of the ACM

Is a Privacy Crisis Experienced, a Privacy Crisis Avoided?

Exploring immersive theatre as a way to educate audiences and study their perceptions of privacy and technology ethics.

Humans and AI: Problem Finders and Problem Solvers
From ACM Opinion

Humans and AI: Problem Finders and Problem Solvers

Technologies such as AlphaCode cannot think about and design their own problems, but they are very good problem solvers

DeepMind AlphaCode Does Not Compare to Human Programmers
From ACM Opinion

DeepMind AlphaCode Does Not Compare to Human Programmers

Human programmers are in control but they must learn to harness the power and limits of AI-generated code

Giving an AI Control of Nuclear Weapons: What Could Go Wrong?
From ACM Opinion

Giving an AI Control of Nuclear Weapons: What Could Go Wrong?

The challenge of autonomous nuclear weapons is a serious one that has received little attention

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

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
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