Machine Learning

World Economic Forum Global Risk Report identifies cyberattacks and data theft as significant economic risks

The Global Risk Report 2017 from the World Economic Forum cites threats to global economic wellbeing ranging from natural disasters and large scale involuntary migration to — this year — risks arising from a “growing cyberdependency.” Specific risks the report calls out in this category are cyberattacks, data fraud and theft, critical infrastructure breakdown, and  “adverse

WPF to present on machine learning, privacy, and ethics at the U.S. – U.K. Sackler Forum

The Sackler Forum is jointly sponsored by the National Academy of Sciences and the Royal Society January 25, 2017 For Immediate Release WPF Executive Director Pam Dixon will present a lecture on privacy, ethics, machine learning, and society at the Sackler Forum Feb. 1 in Washington, DC. The Sackler forum is jointly sponsored by the National Academy