While helpful in comparing AI performance, benchmarks are often taken out of context, sometimes to harmful results
TechTalks From ACM Opinion | December 7, 2021
IT leaders can prevent disaster by understanding and articulating the risks of relying on increasingly complex algorithms
TechRepublic From ACM Opinion | November 30, 2021
Stanford PhD student discusses recent research on understanding, building, and controlling pre-trained models
The Gradient From ACM Opinion | November 16, 2021
Stanford JD-PhD candidate Peter Henderson talks about creating robust decision-making systems and ML methods that benefit society
The Gradient From ACM Opinion | November 8, 2021
Computational biologist brings the power of machine learning to researchers seeking answers in mountains of cell images
Quanta Magazine From ACM Opinion | November 5, 2021
Data science expert talks about how trustworthy AI and causal reasoning can help society solve real-world problems
MIT Technology Review From ACM Opinion | November 2, 2021
Although the European Commission proposed new legislation for the use of "high-risk artificial intelligence" earlier this year, the existing European fundamental...Karl Stöger, David Schneeberger, Andreas Holzinger From Communications of the ACM | November 1, 2021