09/13/23 TIME Magazine — TIME Magazine: Berkeley engineers grapple with the ethical and safety issues related to AI
Security & privacy
05/17/23 — Computer scientists have created an innovative approach to machine learning that preserves privacy.
08/10/22 — A faster, more secure approach to machine learning helps safeguard private information
08/04/22 — CDSS: Algorand Foundation funding to help democratize access to data and ensure that data remains secure
05/11/22 — EECS associate professor wins $35,000 prize as outstanding young computer professional for her design of secure distributed systems, protecting confidentiality against attackers while maintaining full functionality
02/16/21 — This is the consortium's third five-year, $25 million grant, allowing it to continue its mission of educating nuclear scientists and advancing nuclear technologies.
06/26/20 Futurism — Digital forensics expert and EECS professor Hany Farid lays out the greatest digital threats facing the country, and how to combat them
04/14/20 — Researchers are advancing blockchain and encryption methods to protect personal data and make sharing it more secure.
02/12/20 — Sanjam Garg, an assistant professor of electrical engineering and computer sciences (EECS), and Aditya Parameswaran, who has a joint appointment in EECS and the School of Information, were among nine Berkeley faculty members to win the prestigious research honor.
01/16/20 — Philippe Étienne said the quickening pace of technological change requires nations to immediately build “shared governance” of the internet through both existing and perhaps new global institutions.
01/14/20 — The social media giant hired Hany Farid to help it detect fake videos, but Farid says company's new policy is problematic.
11/18/19 New York Times — Electrical engineering and computer sciences professor Dawn Song, a leading expert in computer security and trustworthy artificial intelligence, is building a platform in which people control their own data online and are compensated for its use by corporations.
11/05/19 Los Angeles Times — Leaders in artificial intelligence are unveiling a tool to push back against deepfake videos, built in part on scanning software that UC Berkeley has been developing in partnership with the U.S. military.
10/25/19 — Computer science researchers are using groundbreaking machine learning technologies to expose deepfake videos, manipulated images and other types of digital deception.
06/13/19 Washington Post — EECS graduate student Shruti Agarwal and incoming professor Hany Farid argue that powerful new AI software has effectively democratized the creation of convincing “deepfake” videos, making it easier than ever to fabricate someone appearing to say or do something they didn't really do.
05/17/19 — Stung by bad press and government investigations, Facebook is investing $7.5 million in a partnership with three universities - UC Berkeley, Cornell and Maryland - to develop new methods to improve detection of fake content, fake news and misinformation campaigns. At Berkeley, the work will be led by EECS professors Hany Farid and Alexei Efros.
05/01/19 — Artificial intelligence can identify individuals by correlating step data from activity trackers and smartphones with demographic data.
03/26/19 MIT Technology Review — Berkeley Engineering AI security expert Dawn Song warns that “adversarial machine learning” could be used to reverse-engineer systems - including those used in defense.
01/30/19 — UC Berkeley's ongoing video series on the intersection of social activism and technology profiles recent CS doctoral graduate Rebecca Sorla Portnoff, who uses her computer security know-how to help catch sex traffickers.
01/29/19 USA Today — Manufacturers say data stripped of identifying information is no privacy risk. But UC Berkeley's Anil Aswani and UCSF's Yoshimi Fukuoka found that artificial intelligence can overcome that. Time to update health privacy laws.