Communications of the ACM
Generative AI Degrades Online Communities
How large language models are influencing online communities.
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
Climate Policy Models Need to Get Real About People—Here's How
To predict how society and political systems might actually respond to warming, upgrade integrated assessment models.
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
What Makes Quantum Computing So Hard to Explain?
To understand what quantum computers can do—and what they can’t—avoid falling for overly simple explanations.
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
Machine Learning Security Needs New Perspectives and Incentives
Researchers and developers racing to make deep learning available to different applications need to actively seek out and address security challenges before they...
From ACM Opinion
Theorists and Experimentalists Must Join Forces
Collaborations between theorists and experimentalists are crucial for accelerating research.
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
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
A Vision to Compute like Nature: Thermodynamically
Advocating a new, physically grounded, computational paradigm centered on thermodynamics and an emerging understanding of using thermodynamics to solve problems...
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
Data Scientists' Important Role in Defeating COVID Vaccine Skepticism
Without a basic understanding of data measures and how they're computed, data-driven vaccine safety and effectiveness messages can become meaningless sound bites...
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