The opinion archive provides access to past opinion stories from Communications of the ACM and other sources by date.
New approaches are needed to systematically reduce the harmful bias of language models in deployment.
We need diverse teams collaborating to help navigate and overcome social and geopolitical challenges.
Artificial intelligence can help the electronics industry to speed up chip design. But the gains must be shared equitably.
AI and other digital technologies have been surprisingly slow to improve economic growth. But that could be about to change.
Are cryptocurrencies the wave of the future and should you be using and investing in them?
The notion that the simpler explanation is usually right has been useful for centuries. New science may change that.
Algorithms trained in pattern recognition struggle to understand kids.
A machine learning-based score designed to aid triage decisions is gaining in popularity, but lacking in transparency.
To predict how society and political systems might actually respond to warming, upgrade integrated assessment models.
In the wake of COVID-19, a pandemic treaty could be a way to agree on data access before the next emergency strikes.
To understand what quantum computers can do—and what they can’t—avoid falling for overly simple explanations.
Leon Panetta is one of the few American government officials who can look around at the nation's rolling cyberdisasters and justifiably say, “I told you so.”
One year after supercomputers worked together to fight COVID-19, it's time to broaden the partnership to prepare for other crises.
The problems and the possibilities of AI are, in a very deep way, the problems and possibilities of humanity.
The generic objective of maximizing reward is enough to drive behavior that exhibits most abilities studied in natural and artificial intelligence.
To fully address the issue of racial bias in AI models for clinical use, a top-down intervention is required.
As a member of the Biden cabinet, new OSTP Director Eric Lander may have more access and influence than any science adviser before him.
Interactions between science and politics are now so complex, so numerous, and often so opaque that it’s not clear anymore whom to trust.
It's not just a matter of fairness and inclusion. Accessible technology is generally better for everyone.
Researchers and developers racing to make deep learning available to different applications need to actively seek out and address security challenges before they cause irreparable damage.
Jordan Ellenberg calls on mathematics to explore everything from Internet fads to voting rights.
Collaborations between theorists and experimentalists are crucial for accelerating research.
With 90% of the 2020 U.S. general election ballot contents verifiable by paper, why do only 65% of voters trust the results?
Code needs to run anywhere as long as the necessary dependencies can be resolved.
The locality principle extends beyond computer memories. It teaches us something about being human.
Understanding impostor syndrome's complexity and its effect on research persistence.
Experiences discovering attempts to subvert the peer-review process.
Advocating a new, physically grounded, computational paradigm centered on thermodynamics and an emerging understanding of using thermodynamics to solve problems.
Milestones in the history of computing from the Swiss National Supercomputing Center, Lugano.
How the Technion assimilated its international activities into its other units’ activities and, at the same time, reduced operational costs …
To organize the productive work of multiprocessor chips, it is necessary to establish an efficient distribution of computational processes between …