Communications of the ACM
The Uselessness of Useful Knowledge
Today's powerful but little-understood AI breakthroughs echo past examples of unexpected scientific progress
From Communications of the ACM
Collusion Rings Threaten the Integrity of Computer Science Research
Experiences discovering attempts to subvert the peer-review process.
From Communications of the ACM
Depth and Persistence: What Researchers Need to Know About Impostor Syndrome
Understanding impostor syndrome's complexity and its effect on research persistence.
From Communications of the ACM
The Risks of Election Believability (or Lack Thereof)
With 90% of the 2020 U.S. general election ballot contents verifiable by paper, why do only 65% of voters trust the results?
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
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 Communications of the ACM
Trustworthy Scientific Computing
Addressing the trust issues underlying the current limits on data sharing.
From Communications of the ACM
The 10 Best Practices for Remote Software Engineering
Focusing on the human element of remote software engineer productivity.
From ACM Opinion