Engineering and algorithmic framework to ensure data privacy and user confidentiality.
Yong Cheng, Yang Liu, Tianjian Chen, Qiang Yang From Communications of the ACM | December 1, 2020
Incorporating equity and inclusion in the effort toward access for everyone.
W. Richards Adrion, Sarah T. Dunton, Barbara Ericson, Renee Fall, Carol Fletcher, Mark Guzdial From Communications of the ACM | December 1, 2020
It's here. The world that Richard Stallman predicted in 1997. The one Cory Doctorow also warned us about. Did you notice?
Jeffrey Paul From ACM Opinion | November 13, 2020
Three technical and legal approaches that create value from data and foster user trust.
Marshall W. Van Alstyne, Alisa Lenart From Communications of the ACM | November 1, 2020
Considering the potential benefits versus the risks of privacy-enhancing technologies.
Lorrie Faith Cranor From Communications of the ACM | November 1, 2020
Almost everything is somehow interrelated with everything else—and that should not surprise us.
Peter G. Neumann From Communications of the ACM | October 1, 2020
Avalanches generate enormous breakdowns. The practices of innovation adoption may be just what you need to resolve them.
Peter J. Denning From Communications of the ACM | September 1, 2020
Data scientists face challenges spanning academic and non-academic institutions.
Christine L. Borgman, Michael J. Scroggins, Irene V. Pasquetto, R. Stuart Geiger, Bernadette M. Boscoe, Peter T. Darch, Charlotte Cabasse-Mazel, Cheryl Thompson, Milena S. Golshan From Communications of the ACM | August 1, 2020
Any piece of software should be able to provide the desired features, and when errors do occur, the software should handle them gracefully.
The Brooking Institution From ACM Opinion | June 25, 2020
Toward a more equitable distribution of the benefits of technological change.
Kathleen H. Pine, Margaret M. Hinrichs, Jieshu Wang, Dana Lewis, Erik Johnston From Communications of the ACM | July 1, 2020