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 ACM Opinion
Beyond Interpretability: Developing a Language to Shape Our Relationships with AI
Wouldn't it be nice if we could ask AI questions to learn how and why it makes its predictions?
From ACM Opinion
Bitcoin Isn't Going to Change
There's no evidence that Bitcoin's key players are interested in switching from proof-of-work to energy-saving proof of stake.
From Communications of the ACM
Toward Justice in Computer Science through Community, Criticality, and Citizenship
Proposing a justice-centered CS education.
From Communications of the ACM
Two Paths for Digital Disability Law
Understanding the legal drivers of efforts to make technology accessible.
From ACM Opinion
Can AI Improve Road Safety Now?
Well before self-driving cars become a reality, there are simpler approaches that can make roads much safer.
From Communications of the ACM
Communications' Digital Initiative and Its First Digital Event
How AI and science are shaping each other.
From ACM Opinion
Web Scraping
The increasing use of computational approaches for data collection and data analysis in social sciences research.
From ACM Opinion
Security: The Lock and the Key to Blockchain's Future
For blockchain technology to fulfill its full potential, the security standard needs to mature
From Communications of the ACM
Futures of Digital Governance
Seeking to increase the interoperability among the technical and social sciences toward new forms of governance associated with digital technology.
From Communications of the ACM
Copyright Implications of Emulation Programs
How emulation programs might be affected by new claims of copyright infringement.
From ACM Opinion
Machine-Learning Robustness, Foundation Models, and Reproducibility
An interview with Percy Liang, associate professor of Computer Science at Stanford University
From Communications of the ACM
The Lives of Hidden Figures Matter in Computer Science Education
"I cannot work on what I cannot see . . ." —Katherine Goble, Hidden Figures
From ACM Opinion
Is LiDAR on Its Way Out?
As automation proliferates, sensing is increasingly moving toward software and away from LiDAR
From ACM Opinion
Why Better AI May Depend on Fake Data
Synthetic data can provide AI with a broader education than real-world data, but challenges exist
From ACM Opinion
Robot Learning at Google and Generalization via Language
Google Robotics research scientist Eric Jang talks about robotic manipulation and self-supervised robotic learning
From ACM Opinion
2021 Was the Year of Monster AI Models
GPT-3 kicked off a new trend in AI for bigger and bigger models, but how large will they get?
From Communications of the ACM
Artificial Intelligence Across Company Borders
Enabling effective cross-company AI without data disclosure.
From Communications of the ACM
Addressing Algorithmic Discrimination
Considering the intersection of technical design and civil rights when building and using classification algorithms.
From ACM Opinion