The artificial intelligence design challenge of teaming humans and machines is difficult because machines cannot read the context of use.
Peter J. Denning, John Arquilla From Communications of the ACM | December 1, 2022
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...Vice From ACM Opinion | November 2, 2022
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
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