Communications of the ACM
Innovation Is Overrated: A Provocation
Digital innovation is not working in the interest of the whole of society. It is time to radically rethink its purpose without…
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
From ACM Opinion
Intelligence and Comprehension
What does it mean to say a computer model 'understands'?
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
From ACM Opinion
Human Autonomy in the Age of AI
Current AI policy recommendations differ on what the risks to human autonomy are
From ACM Opinion
Who Gets to Decide if an AI Is Alive?
We need a Turing Test for consciousness that works for modern AI
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.
From ACM Opinion
Andrew Ng Calls for Smart-Sized, 'Data-Centric' Solutions to Big Issues
AI pioneer says he has identified the next big shift in artificial intelligence
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
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
From ACM Opinion
Connecting Large Language Models to Human Values
AI researcher Connor Leahy talks about replicating GPT-2/GPT-3, superhuman AI, AI alignment, AI risk and research norms, and more
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
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
From ACM Opinion
Machine-Learning Robustness, Foundation Models, and Reproducibility
An interview with Percy Liang, associate professor of Computer Science at Stanford University
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
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
From ACM Opinion
Considering 'Creatively Adequate' AI
The future of artificial intelligence needs less data and can tolerate ambiguity
From ACM Opinion
Why Is Silicon Valley Still Waiting for the Next Big Thing?
Have the big thinkers of tech lost their mojo?
From ACM Opinion
Open Source Intelligence
Averting strategic surprises requires uncovering secrets hidden in plain sight
From ACM Opinion