From Communications of the ACM
Digital innovation is not working in the interest of the whole of society. It is time to radically rethink its purpose without…
Filippo Gualtiero Blancato| March 1, 2024
Clear, non-anthropomorphic language is central to dismantling misconceptions of AI as a black box.
Brookings TechStream From ACM Opinion | June 29, 2021
Book authors discuss compilation featuring expert advice from Java leaders and practitioners.
Software Engineering Radio From ACM Opinion | June 28, 2021
Public sector AI innovation needs a more sophisticated, data-driven, and mature approach to ensure effectiveness of governments and better citizen outcomes.
Forbes From ACM Opinion | June 28, 2021
It may not be too late to put the evil "slaughterbots" genie back in the bottle, if the world acts now.
Stuart Russell, Anthony Aguirre, Emilia Javorsky, and Max Tegmark From ACM Opinion | June 24, 2021
Efficiency measures are struggling to keep pace with, let alone make headway on, the accelerating demands of modern supercomputers.
HPCWire From ACM Opinion | June 24, 2021
Relational databases aren't dead, but database innovation is cropping up in all sorts of places now, including graph databases.
TechRepublic From ACM Opinion | June 23, 2021
Navigating the ethical and societal impacts of technologies.
Solon Barocas, Asia J. Biega, Margarita Boyarskaya, Kate Crawford, Hal Daumé III, Miroslav Dudík, Benjamin Fish, Mary L. Gray, Brent Hecht, Alexandra Olteanu, Forough Poursabzi-Sangdeh, Luke Stark, Jennifer Wortman Vaughan, Hanna Wallach, Marion Zepf From Communications of the ACM | July 1, 2021
Differential privacy is not a silver bullet for all privacy problems.
Josep Domingo-Ferrer, David Sánchez, Alberto Blanco-Justicia From Communications of the ACM | July 1, 2021
Companies must address the difficulty of hiring and retaining high-skilled employees from an increasingly smaller labor supply.
Travis Breaux, Jennifer Moritz From Communications of the ACM | July 1, 2021
New approaches are needed to systematically reduce the harmful bias of language models in deployment.
Nature Machine Intelligence From ACM Opinion | June 18, 2021