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
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
We will soon have AI as cognitively sophisticated as mice or dogs, so it is time to start thinking about whether these AIs deserve the ethical protections we typically...aeon From ACM Opinion | November 25, 2019
Google's engineers have succeeded in designing a quantum computer which, for the first time ever, has solved a problem a conventional computer is not able to. Are...finews From ACM Opinion | October 15, 2019
Mind-reading systems such as Facebook's brainwave-reading device and Neuralink's brain implants can affect privacy, security, identity, equality and personal safety...DownToEarth From ACM Opinion | August 20, 2019