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
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
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
Caution Ahead: Navigating Risks to Freedoms Posed by AI
NSCAI commissioners and PCLOB members urge a task force to examine the challenges of using AI systems across federal agencies.
From ACM Opinion
Can Machines Control Our Brains?
Advances in brain-computer interface technology are impressive, but not close to anything resembling mind control.
From ACM Opinion
'Clearly AI Is Going to Win'
Nobel-winning psychologist Daniel Kahneman discusses listening to science, avoiding system noise, and the inevitability of AI over human intelligence.
From ACM Opinion
European AI Needs Strategic Leadership, Not Overregulation
EU regulation of AI could limit the use cases and innovation and put the EU in a technologically inferior position globally.
From ACM Opinion
Defining a Role for AI Ethics in National Security
Mariarosaria Taddeo, an associate professor and senior research fellow at the Oxford Internet Institute and Dstl Ethics Fellow at the Alan Turing Institute, discusses...
From ACM Opinion
Stop the Emerging AI Cold War
Proliferating military artificial intelligence will leave the world less safe—so we must focus on ethics and global cooperation, argues Denise Garcia, vice-chair...
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 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