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
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 ACM Opinion
Stop Talking About AI Ethics. It's Time to Talk About Power
AI scholar Kate Crawford explores the history of artificial intelligence and its impact on the physical world in her new book, Atlas of AI.
From ACM Opinion
Hackers Used to Be Humans. Soon, AIs Will Hack Humanity
To date, hacking has exclusively been a human activity. Not for long.
From ACM Opinion
Intel's Melvin Greer: AI, Data Science a Growth Pillar
Melvin Greer, chief data scientist for the Americas, Intel Corp., discusses the importance of nontechnical skills and cross-domain expertise, ethical AI, and AI...
From ACM Opinion
A Computer Scientist Who Tackles Inequality Through Algorithms
Rediet Abebe uses the tools of theoretical computer science to understand pressing social problems — and try to fix them.
From ACM Opinion
Automation and the 'Winner Take Most' Effect
The threat that automation poses to humans has been greatly exaggerated, says Erik Brynjolfsson, director of the Stanford Digital Economy Lab and a senior fellow...
From ACM Opinion
Bridging The Gap Between AI Policymakers and AI Developers
The current gap in policymakers' tech knowledge and technologists' ethics knowledge needs to be bridged to ensure AI's sustainable development.
From ACM Opinion
Artificial Intelligence Is a House Divided
A decades-old rivalry has riven the field. It's time to move on.
From ACM Opinion
Fair Warning
For as long as there has been AI research, there have been credible critiques about the risks of AI boosterism.
From ACM Opinion
The Turing Test Is Obsolete. It's Time to Build a New Barometer for AI
The goal put forth by the Turing Test is not a useful one for AI scientists. It is time to set a new challenge that inspires researchers and practitioners equally...
From Communications of the ACM
Operationalizing AI Ethics Principles
A better ethics analysis guide for developers.
From ACM Opinion
AI Pioneer Geoff Hinton: 'Deep Learning Is Going to Be Able to Do Everything'
Thirty years ago, Geoffrey Hinton's belief in neural networks was contrarian. Now it's hard to find people who disagree with him.
From ACM Opinion
AI Ruined Chess. Now, It's Making the Game Beautiful Again
Former world champion Vladimir Kramnik teamed up with AI researchers at Alphabet's DeepMind lab to test game variants that can jolt chess players into creative...
From ACM Opinion