Madison C. Allen Kuyenga, Eleanor R. Glover Gladney, Michael Lachney, Marwin McKnight, Theodore S. Ransaw, Dominick Sanders, Aman Yadav| October 1, 2023
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...Nature Machine Intelligence From ACM Opinion | October 24, 2022
Harry Halpin has helped create a new kind of network that might enable more private Internet conversations.
Quanta Magazine From ACM Opinion | October 21, 2022
Andy Dang, head of Engineering at WhyLabs, discusses observability and data ops for AI/ML applications and how that differs from traditional observability.
Software Engineering Radio From ACM Opinion | October 21, 2022
The economy could get a boost if machine-learning engineers switched from copying human abilities to augmenting them.
Wired From ACM Opinion | October 18, 2022
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.
The Gradient From ACM Opinion | September 26, 2022
For humanity's brightest future, the blue-sky, lofty thinkers in AI need the help of the muddy-boots pragmatists.
Scientific American From ACM Opinion | September 20, 2022
An interview with Christopher Manning, director of the Stanford University AI Lab and an associate director of Stanford's Human-Centered Artificial Intelligence...The Gradient From ACM Opinion | September 9, 2022
Professor Jim Kurose discusses the type of science computing researchers are focusing on and the future of the field.
University of Southern California From ACM Opinion | August 25, 2022
We are in a golden age of progress in artificial intelligence, and it is time to start taking its potential and risks seriously.
The New York Times From ACM News | August 25, 2022
Considering copyright licensing issues involving non-fungible tokens to manage creative works.
Andres Guadamuz From Communications of the ACM | September 1, 2022