Privacy engineers are essential to both preventing and responding to organizational privacy problems.
Lea Kissner, Lorrie Cranor From Communications of the ACM | November 1, 2021
Reporting machine learning-based research can help to improve transparency and reproducibility
Nature Computational Science From ACM Opinion | October 22, 2021
Today's powerful but little-understood AI breakthroughs echo past examples of unexpected scientific progress
Quanta Magazine From ACM Opinion | October 21, 2021
The White House Office of Science and Technology Policy is developing principles to guard against powerful technologies—with input from the public
Wired From ACM Opinion | October 12, 2021
Gigantic neural networks that write with remarkable fluency have led to suggestions that scaling up will usher in ultimately true machine intelligence
New Scientist From ACM Opinion | October 8, 2021
Wall Street Journal's Facebook series exposes flaws in leadership's handling of algorithms' unintended consequences
TechRepublic From ACM Opinion | September 27, 2021
Adopt and enforce regulations for the cryptocurrency industry that are equivalent to traditional banking
The New York Times From ACM Opinion | September 1, 2021
Dojo's reported performance numbers and niche application place it outside the ranks of true supercomputers
TechRepublic From ACM Opinion | August 31, 2021