Communications of the ACM
Generative AI Degrades Online Communities
How large language models are influencing online communities.
From Communications of the ACM
Accelerator-Level Parallelism
Charging computer scientists to develop the science needed to best achieve the performance and cost goals of accelerator-level parallelism hardware and software...
From ACM Opinion
'Yeah, We're Spooked', Says Expert about AI's Potential Impact
Professor Stuart Russell says field of AI needs to grow up quickly to ensure humans remain in control
From ACM Opinion
Strong AI Requires Autonomous Building of Composable Models
Models built by AI must encode the fundamental patterns of experience
From Communications of the ACM
We Are Not Users: Gaining Control Over New Technologies
Seeking a more selective approach to technology usage.
From Communications of the ACM
Privacy Engineering Superheroes
Privacy engineers are essential to both preventing and responding to organizational privacy problems.
From ACM Opinion
Moving Towards Reproducible Machine Learning
Reporting machine learning-based research can help to improve transparency and reproducibility
From ACM Opinion
The Uselessness of Useful Knowledge
Today's powerful but little-understood AI breakthroughs echo past examples of unexpected scientific progress
From ACM Opinion
'Small Data' Is Also Crucial for Machine Learning
The most promising AI approach you've never heard of doesn't need to go big
From ACM Opinion
Why Robots Should Fear Death as Much as We Do
To gain full artificial general intelligence, perhaps machines need to fear their own mortality
From ACM Opinion
Americans Need a Bill of Rights for an AI-Powered World
The White House Office of Science and Technology Policy is developing principles to guard against powerful technologies—with input from the public
From ACM Opinion
Supersized AIs: Are Truly Intelligent Machines Just a Matter of Scale?
Gigantic neural networks that write with remarkable fluency have led to suggestions that scaling up will usher in ultimately true machine intelligence
From ACM Opinion
Why OpenAI's Codex Won't Replace Coders
Human programmers can actually become more powerful and efficient with Codex
From ACM Opinion
Leadership Lessons about Ethical AI and Algorithms
Wall Street Journal's Facebook series exposes flaws in leadership's handling of algorithms' unintended consequences
From Communications of the ACM
Remaining Connected Throughout Design
Applying the unique experiences of designing technologies for vulnerable communities.
From ACM Opinion
The Imperative for Sustainable AI Systems
The impact of AI's massive carbon footprint is social, not just environmental
From ACM Opinion