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
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