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
A Legal Challenge to Algorithmic Recommendations
Reconsidering liability shield considerations.
From ACM Opinion
With AI, We Are Reliving the Start of the Smartphone Era
We often judge the utility of a new technology on how well it deals with the problems of older ones.
From ACM Opinion
Why You Should Not Trust AI Search Engines
The technology is simply not ready to be used like this at this scale.
From ACM Opinion
Mr. President, Healthcare Has a Data Problem
The U.S. healthcare system is plagued by inefficiencies, in part due to deficiencies of health data interoperability between electronic health records and other...
From ACM Opinion
Machines Learn Better if We Teach Them the Basics
A wave of research improves reinforcement learning algorithms by pre-training them as if they were human.
From ACM Opinion
ChatGPT: Five Priorities for Research
Conversational AI is a game-changer for science; here's how to respond.
From ACM Opinion
"Conversational" AI Is Really Bad at Conversations
Conversation without change is just a five-finger exercise.
From ACM Opinion
Yann LeCun: ChatGPT 'Not Particularly Innovative'
Deep learning pioneer says many research labs are using the same techniques and doing the same kind of work.
From ACM Opinion
It Is Time to Have a Group Chat about AI
We need to seriously consider how to regulate the use of AI—long before it can replace the functions of tens of millions to billions of people.
From ACM Opinion
An AI Bill of Rights
Suresh Venkatasubramanian, professor of Computer Science and Data Science at Brown University, discusses the "Blueprint for an AI Bill of Rights" and more.
From ACM Opinion
What's Next for Quantum Computing?
Companies are moving away from setting qubit records in favor of practical hardware and long-term goals.
From ACM Opinion
Dense Visual Representations, NeRFs, and LLMs for Robotics
Google research scientist Pete Florence discusses how robotics can benefit from dense visual representations, neural radiance fields, and large language models....
From ACM Opinion
Interpretability of Artificial Neural Network Models in AI versus Neuroscience
Potential synergies and tensions between neuroscientists and AI researchers in interpreting artificial neural networks.
From ACM Opinion
Your Creativity Will Not Save Your Job from AI
Once considered capable only of unimaginative, routine work, the robots of today craft articles and create award-winning art.
From ACM Opinion
Adam Dymitruk on Event Modeling
Exploring the event-modeling approach to discovering requirements and designing software systems.
From ACM Opinion
Yoshua Bengio: The Past, Present, and Future of Deep Learning
2018 ACM A.M. Turing Award recipient discusses his career, collaborations, deep learning's promise, and directions for the field.
From ACM Opinion
The 'End of Crypto'? Not So Fast
The trust lost in the FTX debacle will take years to rebuild, but it is certainly not the end of crypto.
From ACM Opinion
Should Quantum Computing Be on IT’s Strategic Roadmap?
Quantum computing is far from being a mature technology, but now is the time to pencil it into IT strategic roadmaps.
From ACM Opinion