Opinion
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AI and Society: Ethics, Trust, and Cooperation
Trust and trustworthiness are central to how ethics helps society survive and thrive.
For a More Transparent Governance of Open Source
Seeking the best governance models for FOSS projects.
SI and Binary Prefixes: Clearing the Confusion
Considering the emergence of non-standard acceptance of SI prefixes.
Why You Should Be Able to Make Your Own Individualized, Digital Nano-Currency
Increasing opportunities for access to traditional financial systems.
GenAI: Giga$$$, TeraWatt-Hours, and GigaTons of CO2
It has become clear that AI's carbon emissions, lifecycle carbon, and other negative environmental impacts are growing explosively.
"Write a 700-word obituary for Vint Cerf." I tried this "prompting" text on a publicly available chatbot. The output? There was a considerable degree of invented but false statements about my life and work.
L-Space and Large Language Models
Design fiction is an approach to understanding and speculating about alternate futures. This column is a piece of such speculative fiction, set in 2025.
Legal Challenges to Generative AI, Part I
Questioning the legality of using in-copyright works for training data and producing outputs derived from copyrighted training data.
Learning to Live with Privacy-Preserving Analytics
Seeking to close the gap between research and real-world applications of PPAs.
Fragility in AIs Using Artificial Neural Networks
Suggesting ways to reduce fragility in AI systems that include artificial neural networks.
Lost in Afghanistan: Can the World Take ICT4D Seriously?
Seeking to maximize the value of information and communication technologies for development research.
Revisiting ACM’s Open-Conference Principle
I would like to see the ACM Presidential Task Force on "Open Science" develop a detailed set of guiding principles for conference-site selection. Principles, however, must be translated to concrete decisions in the context of a messy reality.
In his January 2023 Communications Viewpoint, "The End of Programming," Matt Welsh wrote "nobody actually understands how large AI models work." However, already no one person understands existing large computer systems.
As the inventor of Ethernet, now ubiquitous in so many forms, Bob Metcalfe, the Turing Award Laureate for 2022, has earned the right to speak about connectivity.
Can Generative AI Bots Be Trusted?
It will be a long road to learning how to use generative AI wisely.
Computer-Related Risks and Remediation Challenges
Surveying the nontechnical issues interwoven with computer-related technologies.
Conjoined Twins: Artificial Intelligence and the Invention of Computer Science
How artificial intelligence and computer science grew up together.
Breaking Up a Digital Monopoly
How to decompose a vertically integrated digital monopoly to enable competitive services based on a shared data structure.
Trust Is Not Enough: Accuracy, Error, Randomness, and Accountability in an Algorithmic Society
Searching for improved algorithmic accountability.
Bob Metcalfe, who co-invented Ethernet networking technology, continues to take on new challenges as a computational engineer.
Shape the Future of Computing
ACM encourages its members to take a direct hand in shaping the future of the association. There are more ways than ever to get involved.
Get InvolvedCommunications of the ACM (CACM) is now a fully Open Access publication.
By opening CACM to the world, we hope to increase engagement among the broader computer science community and encourage non-members to discover the rich resources ACM has to offer.
Learn More