Communications of the ACM
From Communications of the ACM
The Troubling Future for Facial Recognition Software
Considering the myriad perspectives of facial recognition technology.
From Communications of the ACM
Bursting a Few Balloons Regarding the Famous DARPA Red Balloon Challenge
A balloon's-eyeperspective on a unique distributed, time-critical, geo-location problem.
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 Communications of the ACM
A Call to Action
Digital dreams have become nightmares: What we must do.
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
Machine-Learning Robustness, Foundation Models, and Reproducibility
An interview with Percy Liang, associate professor of Computer Science at Stanford University
From Communications of the ACM
I Unplugged What?
The lessons here are broader than just a simple "Don't do that."
From Communications of the ACM
A Brave New World of Mediated Online Discourse
Is artificial intelligence up to the task of managing online discourse in social networks?
From ACM Opinion
Avoiding Defects in C Programming
Computer security specialist details tools and techniques developers can use to write secure code in C
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?
From ACM Opinion
Deep Learning Can't Be Trusted
Brain modeling pioneer Stephen Grossberg explains why his ART model is better
From ACM Opinion
The Benefits of Rust
An in-depth discussion about the virtue of Rust, its future, and more
From ACM Opinion
What Does It Mean for AI to Understand?
It's simple enough for AI to seem to comprehend data, but devising a true test of a machine's knowledge has proved difficult
From Communications of the ACM
The Growing Cost of Deep Learning for Source Code
Attempting to mitigate problems associated with the trend toward massive dataset scaling.
From Communications of the ACM
The Long Road Ahead to Transition to Post-Quantum Cryptography
Anticipating the output of the competition for new cryptographic algorithms.
From ACM Opinion
How Much Has Quantum Computing Actually Advanced?
John Martinis, former chief architect of Google Sycamore, offers a measured perspective on quantum's progress
From ACM Opinion
Why We Must Rethink AI Benchmarks
While helpful in comparing AI performance, benchmarks are often taken out of context, sometimes to harmful results
From Communications of the ACM
