Communications of the ACM
From ACM Opinion
Amid a Pandemic, a Health Care Algorithm Shows Promise and Peril
A machine learning-based score designed to aid triage decisions is gaining in popularity, but lacking in transparency.
From ACM Opinion
Climate Policy Models Need to Get Real About People—Here's How
To predict how society and political systems might actually respond to warming, upgrade integrated assessment models.
From ACM Opinion
What Makes Quantum Computing So Hard to Explain?
To understand what quantum computers can do—and what they can’t—avoid falling for overly simple explanations.
From ACM Opinion
Getting More People With Disabilities Developing Technology Is Good for Everyone
It's not just a matter of fairness and inclusion. Accessible technology is generally better for everyone.
From ACM Opinion
Theorists and Experimentalists Must Join Forces
Collaborations between theorists and experimentalists are crucial for accelerating research.
From ACM Opinion
For Companies That Use ML, Labeled Data Is the Key Differentiator
Any company that is considering using machine learning cannot overlook one technical choice: supervised or unsupervised learning.
From ACM Opinion
Should Alexa Read Our Moods?
Companies should be barred from analyzing what people say and how they sound to recommend products or personalize advertising messages.
From ACM Opinion
How to Be Responsible in AI Publication
A white paper from Partnership on AI advises on navigating the risks of AI research and responsible publication.
From ACM Opinion
Charlie Marcus Knows That Quantum Facts Aren't Complicated
The secret to making a qubit for future quantum computers might depend on knowing how to tie knots in unusual materials, argues quantum physicist Charlie Marcus...
From ACM Opinion
Understanding the Differences Between Biological and Computer Vision
Harvard Medical University Professor Gabriel Kreiman provides an account of how humans and animals process visual data and how far techno come toward replicating...
From ACM Opinion
Quantifying Uncertainty in Deep Learning
Aalto University Professor Arno Solin discusses how to improve deep learning uncertainty with doctoral student Lassi Meronen.
From ACM Opinion
Cooperative AI: Machines Must Learn to Find Common Ground
To help humanity solve fundamental problems of cooperation, scientists need to reconceive artificial intelligence as deeply social.
From ACM Opinion
Professor Advocates Taking AI Research Back to Its Roots
To build a general artificial intelligence, we may need to know more about our own minds, argues computer scientist Melanie Mitchell.
From ACM Opinion
AI Drives Crossword-Solving Program to Tournament Victory
Plagued by unifinished crossword puzzles? Matt Ginsberg, a pro crossword writer and AI scientist, wrote a program that solves crosswords.
From ACM Opinion
AI May Have a Lot to Learn From Children
Exploratory learning, the kind that is exhibited by children, might better inform AI development than the habitual learning processes employed by adults, according...
From ACM Opinion
Vivienne Sze: Crossing the Hardware-Software Divide for Efficient AI
MIT Associate Professor Vivienne Sze discusses why we need low-power AI now, and more.
From Communications of the ACM
Software Professionals, Malpractice Law, and Codes of Ethics
In pursuit of professional status for computing professionals.
From Communications of the ACM
Understanding Law and the Rule of Law: A Plea to Augment CS Curricula
Why law matters for computer scientists and other folk.
From ACM Opinion
Turing Awardee Jeffrey Ullman on How He Got Involved with Computer Science
Jeffrey Ullman, co-recipient of the 2020 ACM A.M. Turing Award, discusses the imposter syndrome, running a Burroughs 5500, and using applications to address social...
From Communications of the ACM