Communications of the ACM
Innovation Is Overrated: A Provocation
Digital innovation is not working in the interest of the whole of society. It is time to radically rethink its purpose without…
From Communications of the ACM
Voice in the Machine: Ethical Considerations for Language-Capable Robots
Parsing the promise of language-capable robots.
From Communications of the ACM
Improving Computing Education Research through Valuing Design
Exploring alternatives to existing research systems and methods.
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
Why You Should Be Able to Make Your Own Individualized, Digital Nano-Currency
Increasing opportunities for access to traditional financial systems.
From Communications of the ACM
AI and Society: Ethics, Trust, and Cooperation
Trust and trustworthiness are central to how ethics helps society survive and thrive.
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
Fragility in AIs Using Artificial Neural Networks
Suggesting ways to reduce fragility in AI systems that include artificial neural networks.
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 ACM Opinion
There Is Little Evidence for Today's AI Alarmism
Over time, we will have a much better sense of which AI areas require significant regulatory intervention and which do not.
From ACM Opinion
Who Should Make the Rules that Govern AI?
One question for Laura Weidinger and Iason Gabriel, research scientists at Google DeepMind.
From Communications of the ACM
Can Generative AI Bots Be Trusted?
It will be a long road to learning how to use generative AI wisely.
From Communications of the ACM
Computer-Related Risks and Remediation Challenges
Surveying the nontechnical issues interwoven with computer-related technologies.
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
Breaking Up a Digital Monopoly
How to decompose a vertically integrated digital monopoly to enable competitive services based on a shared data structure.
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 Careers