The opinion archive provides access to past opinion stories from Communications of the ACM and other sources by date.
Producing truly autonomous vehicles requires a fundamental shift in current approaches.
Any company that is considering using machine learning cannot overlook one technical choice: supervised or unsupervised learning.
Companies should be barred from analyzing what people say and how they sound to recommend products or personalize advertising messages.
The author of The Age of Surveillance Capitalism talks about why people should pay attention to how big tech companies are using their information.
NSCAI commissioners and PCLOB members urge a task force to examine the challenges of using AI systems across federal agencies.
A white paper from Partnership on AI advises on navigating the risks of AI research and responsible publication.
Without a basic understanding of data measures and how they're computed, data-driven vaccine safety and effectiveness messages can become meaningless sound bites.
Advances in brain-computer interface technology are impressive, but not close to anything resembling mind control.
Nobel-winning psychologist Daniel Kahneman discusses listening to science, avoiding system noise, and the inevitability of AI over human intelligence.
EU regulation of AI could limit the use cases and innovation and put the EU in a technologically inferior position globally.
Mariarosaria Taddeo, an associate professor and senior research fellow at the Oxford Internet Institute and Dstl Ethics Fellow at the Alan Turing Institute, discusses two recent reports from the U.K. and the U.S. on using AI …
Proliferating military artificial intelligence will leave the world less safe—so we must focus on ethics and global cooperation, argues Denise Garcia, vice-chair of the International Committee for Robot Arms Control.
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.
Harvard Medical University Professor Gabriel Kreiman provides an account of how humans and animals process visual data and how far techno come toward replicating these functions in computers.
Aalto University Professor Arno Solin discusses how to improve deep learning uncertainty with doctoral student Lassi Meronen.
To help humanity solve fundamental problems of cooperation, scientists need to reconceive artificial intelligence as deeply social.
To build a general artificial intelligence, we may need to know more about our own minds, argues computer scientist Melanie Mitchell.
Plagued by unifinished crossword puzzles? Matt Ginsberg, a pro crossword writer and AI scientist, wrote a program that solves crosswords.
Exploratory learning, the kind that is exhibited by children, might better inform AI development than the habitual learning processes employed by adults, according to a UC Berkeley AI Research group member Alison Gopnik.
Addressing the trust issues underlying the current limits on data sharing.
In pursuit of professional status for computing professionals.
Perhaps a more appropriate question is 'Why not both'?
Why law matters for computer scientists and other folk.
Seeking to rectify the two mutually exclusive ways of comparing computational power — encoding and simulation.
Focusing on the human element of remote software engineer productivity.
As far as we know, only three or four original specimens of the Roman hand abacus have survived.
We don't experience program loops as blocks, started over, because time is one-way.