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
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
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
The Computer Scientist Who Is Boosting Privacy on the Internet
Harry Halpin has helped create a new kind of network that might enable more private Internet conversations.
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 Communications of the ACM
Rethinking Silicon Valley: Stewart Brand's Lost Journal
Discovering a hidden chapter in computing history.
From Communications of the ACM
Mobile-App Privacy Nutrition Labels Missing Key Ingredients for Success
Android and iOS privacy labels confuse developers and end users.
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 Communications of the ACM
Data Platforms and Network Effects
How data-network effects create opportunities and inflate expectations.
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
Designing to Avoid Worst-Case Outcomes
Interaction designer Jonathan Shariat discusses harmful software design.
From ACM Opinion
Linguistics and the Development of NLP
An interview with Christopher Manning, director of the Stanford University AI Lab and an associate director of Stanford's Human-Centered Artificial Intelligence...
From ACM Opinion
How AI Could Accidentally Extinguish Humankind
Humanity is not prepared for artificial superintelligence right now.
From ACM Opinion
The AI Researcher Giving Her Field Its Bitter Medicine
Anima Anandkumar wants computer scientists to move beyond the matrix, among other challenges.
From ACM Opinion
Blowing Up the Internet...to Protect Kids Online
Framed as a bill to protect kids online, the California Age Appropriate Design Code Act would radically reshape the Internet—and harm both kids and adults.
From ACM Opinion
Supercomputer Emulator: AI's New Role in Science
Chris Bishop, Microsoft's head of AI4Science, sees machine learning partially supplanting simulation.
From ACM Opinion