Communications of the ACM
Generative AI Degrades Online Communities
How large language models are influencing online communities.
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 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 Communications of the ACM
Cyber Efficiency and Cyber Resilience
Complementary objectives competing for the same resources.
From Communications of the ACM
Where Is the Research on Cryptographic Transition and Agility?
Gaps facing the industry as quantum safe algorithms move closer to standardization.
From Communications of the ACM
Contracting for Artificial Intelligence
Considering the promises and perils of contracting for the use of artificial intelligence tools and data.
From Communications of the ACM
Metrics for Success: Why and How to Evaluate Privacy Choice Usability
Assessing the usability of choice and consent mechanisms.
From Communications of the ACM
A Map for Innovation
Innovation is less elusive with the right navigational map.
From Communications of the ACM
The Premature Obituary of Programming
Why deep learning will not replace programming.
From Communications of the ACM
Building Machine Learning Models Like Open Source Software
Proposing a community-based system for model development.
From Communications of the ACM
Software Engineering of Machine Learning Systems
Seeking to make machine learning more dependable.
From Communications of the ACM
Ethical AI is Not about AI
The equation Ethics + AI = Ethical AI is questionable.
From Communications of the ACM
The Elephant in the Room
It is time to get the POSIX elephant off our necks.
From Communications of the ACM
The AI Ethicist's Dirty Hands Problem
Attempting to balance sometimes-conflicting interests.
From Communications of the ACM