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
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
Tracing the Evolution of the Computer, from Unusual to Ubiquitous
New book chronicles computer's journey from scientific instrument to general-purpose device
From ACM Opinion
Why a Safe Metaverse Is a Must
Virtual worlds need strong, enforceable rules to avoid the harassment and stalking common on social media platforms
From ACM Opinion
The Inevitability of Trusted Third Parties
The search for a crypto use case continues
From ACM Opinion
The Race to Save the Internet from Quantum Hackers
The quantum computer revolution could break encryption, but more-secure algorithms can safeguard privacy
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
Supercomputing to Save the Planet
Fujitsu CTO Vivek Mahajan says true power of cloud will come with democratizing HPC and quantum computers for the masses
From ACM Opinion
Understanding Software Dynamics
In an interview, computer architect Richard L. Sites discusses his new book
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
Why the Prospect of the IRS Using Facial Recognition Is So Alarming
The U.S. government should put more care and due diligence into its use and advocacy of facial recognition technology
From ACM Opinion
Web3 Is the Future, or a Scam, or Both
So what exactly is Web3, and why is everyone in Silicon Valley obsessed with it?
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
India's Tech Innovation Engines Must Raise Their Game
Some Indian Institutes of Technology are struggling to establish themselves and must quickly turn things around
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
The Strange Allure of the Blockchain
Are we too aggressively looking to replace the danger of unjust financial systems with wildly risky alternative currencies?
From ACM Opinion
Considering 'Creatively Adequate' AI
The future of artificial intelligence needs less data and can tolerate ambiguity
From ACM Opinion