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
The New AI Writing Tool Might Teach Us the Value of Truth
AI literally does not care what is true.
From ACM Opinion
Effective Altruism Is Pushing a Dangerous Brand of AI Safety
This philosophy fuels the artificial intelligence research agenda, creating a harmful system in the name of saving humanity.
From ACM Opinion
Three Key Takeaways from Meta's Galactica AI
We should look at Galactica's initial failure as another scientific experiment, one that can bring us one step closer to success.
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
Why Synthetic Data Is Key to Paving the Way for Smart Cities
Synthetic data helps in projects that place heavy demand on data.
From ACM Opinion
Why Don't Robots Have Rights? A Lawyer's Response
Robots are hardware and software packages that lack a nature or any abilities outside of whatever their designers imagine.
From ACM Opinion
Why Don't Robots Have Rights?
In the future, people may look back with horror at how humans treated AI in the 21st century.
From ACM Opinion
How AI Is Generating a Tech Industry Upturn
We have a whole new era of exuberance on our hands.
From ACM Opinion
Scientists Increasingly Cannot Explain How AI Works
AI researchers are warning developers to focus more on how and why a system produces certain results than the fact that the system can accurately and rapidly produce...
From ACM Opinion
Avoid Diluting Democracy by Algorithms
AI researchers tend to use the concepts of democracy and democratization in ways that are only loosely connected to their political and historical meanings.
From ACM Opinion
AI in Medicine Is Overhyped
AI models for healthcare that predict disease are not as accurate as reports might suggest.
From ACM Opinion
AI Model Transferability in Healthcare: A Sociotechnical Perspective
To realize the promised benefits of applying AI and ML models at scale, a roadmap of the challenges and potential solutions to sociotechnical transferability is...
From ACM Opinion
AI and ML Observability
Andy Dang, head of Engineering at WhyLabs, discusses observability and data ops for AI/ML applications and how that differs from traditional observability.
From ACM Opinion
AI Should Supercharge Workers, not Compete with Them
The economy could get a boost if machine-learning engineers switched from copying human abilities to augmenting them.
From ACM Opinion
A Common-Sense Test for AI Could Lead to Smarter Machines
Injecting common sense into AI could mean big things for humans.
From ACM Opinion
Artificial Intelligence and the Future of Demos
One way to examine the relationship between AI and democracy is to turn the attention toward the very basic unit common to all forms of democracy: the people.
From ACM Opinion
Open-Endedness and Evolution through Large Models
A conversation with Joel Lehman, machine-learning scientist formerly of OpenAI and Uber AI Labs.
From ACM Opinion
Democratization of AI Could Prevent the Great Resignation
To guard against the effect of the Great Resignation, enterprises need to reassess their training programs.
From ACM Opinion
AI Needs Pragmatists and Blue-Sky Visionaries
For humanity's brightest future, the blue-sky, lofty thinkers in AI need the help of the muddy-boots pragmatists.
From ACM Opinion