Communications of the ACM
Generative AI Degrades Online Communities
How large language models are influencing online communities.
From Communications of the ACM
Responsible Computing During COVID-19 and Beyond
Navigating the ethical and societal impacts of technologies.
From Communications of the ACM
The Limits of Differential Privacy (and Its Misuse in Data Release and Machine Learning)
Differential privacy is not a silver bullet for all privacy problems.
From ACM Opinion
Large Language Models Associate Muslims with Violence
New approaches are needed to systematically reduce the harmful bias of language models in deployment.
From ACM Opinion
Research Collaborations Bring Big Rewards: The World Needs More
We need diverse teams collaborating to help navigate and overcome social and geopolitical challenges.
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
Wanted: Rules for Pandemic Data Access That Everyone Can Trust
In the wake of COVID-19, a pandemic treaty could be a way to agree on data access before the next emergency strikes.
From ACM Opinion
The U.S. Needs a National Strategic Computing Reserve
One year after supercomputers worked together to fight COVID-19, it's time to broaden the partnership to prepare for other crises.
From ACM Opinion
Reward Is Enough for Generalized AI
The generic objective of maximizing reward is enough to drive behavior that exhibits most abilities studied in natural and artificial intelligence.
From ACM Opinion
Reducing Racial Bias in AI Models for Clinical Use
To fully address the issue of racial bias in AI models for clinical use, a top-down intervention is required.
From ACM Opinion
Polarized Scientific Views Are Worse Than Ever
Interactions between science and politics are now so complex, so numerous, and often so opaque that it’s not clear anymore whom to trust.
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
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 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