Communications of the ACM
From Communications of the ACM
Dilemma of the Artificial Intelligence Regulatory Landscape
Navigating the complex and varying AI regulatory landscape.
From Communications of the ACM
The Smallness of Large Language Models
There is so much more to language and human beings than large language models can possibly master.
From Communications of the ACM
The Human Touch
There is no substitute for good, direct, honest training.
From Communications of the ACM
SI and Binary Prefixes: Clearing the Confusion
Considering the emergence of non-standard acceptance of SI prefixes.
From Communications of the ACM
For a More Transparent Governance of Open Source
Seeking the best governance models for FOSS projects.
From Communications of the ACM
Learning to Live with Privacy-Preserving Analytics
Seeking to close the gap between research and real-world applications of PPAs.
From Communications of the ACM
Lost in Afghanistan: Can the World Take ICT4D Seriously?
Seeking to maximize the value of information and communication technologies for development research.
From Communications of the ACM
The Parchment Path?
Is there ever a time when learning is not of value—for its own sake?
From Communications of the ACM
Conjoined Twins: Artificial Intelligence and the Invention of Computer Science
How artificial intelligence and computer science grew up together.
From Communications of the ACM
Trust Is Not Enough: Accuracy, Error, Randomness, and Accountability in an Algorithmic Society
Searching for improved algorithmic accountability.
From Communications of the ACM
Decentraland: The Alleged Decentralization of Blockchain Applications
Breaking down the blockchain.
From ACM Opinion
Vint Cerf on 3 Mistakes He Made in TCP/IP
The co-creator of the Internet’s protocols admits his crystal ball had a few cracks.
From Communications of the ACM
Updates, Threats, and Risk Management
Revisiting a recent column considering security updates.
From Communications of the ACM
Ethics as a Participatory and Iterative Process
Facilitating ethical reflection, inquiry, and deliberation.
From ACM Opinion
The Researcher Who Would Teach Machines to Be Fair
Princeton computer scientist Arvind Narayanan uses quantitative methods to expose and correct the misuse of quantitative methods.
From Communications of the ACM
Cyber Efficiency and Cyber Resilience
Complementary objectives competing for the same resources.
From Communications of the ACM
