‘Off label’ use of imaging databases could lead to bias in AI algorithms, study finds

Significant advances in artificial intelligence (AI) over the past decade have relied upon extensive training of algorithms using massive, open-source databases. But when such datasets are used “off label” and applied in unintended ways, the results are subject to machine learning bias that compromises the integrity of the AI algorithm, according to a new study by researchers at the University of California, Berkeley, and the...

Changing the legacy and future of artificial intelligence

We need to urgently rethink how we create, use, communicate and educate around artificial intelligence, said a multidisciplinary group of experts during a recent UC Berkeley Tanner Lecture discussion.

Mobile phone data and machine learning helped Togo government provide assistance

UC Berkeley-led researchers used mobile phone data and machine learning to quickly and accurately direct the Togolese government’s COVID-19 cash assistance to its poorest residents in a first-of-its-kind study published March 16 in Nature. This breakthrough “phone-based approach” gives policymakers another tool to quickly target humanitarian aid in a crisis or where traditional poverty data isn’t available

UC Berkeley to start graduate student research hub on AI policy

UC Berkeley will launch this spring an interdisciplinary initiative to research and propose solutions for governing artificial intelligence, two prominent research institutions at UC Berkeley announced today.

STEM has a diversity problem. CDSS wants to help solve it.

Women, Black and Hispanic individuals are currently and have historically been underrepresented amongst science, technology, engineering and math college degree recipients and technology companies' workforces and leadership. Berkeley’s Division of Computing, Data Science, and Society is working to help solve that.

Marti Hearst is School of Information’s new head of school

Marti Hearst is UC Berkeley School of Information’s new head of school, Jennifer Chayes, the school’s dean, recently announced.

Meet Ashish Sahni, the new executive director for BIDS

Meet Ashish Sahni, the new executive director of the Berkeley Institute for Data Science (BIDS). Sahni joined the UC Berkeley research and training organization – and Division of Computing, Data Science, and Society (CDSS) affiliate – this month from UC San Francisco (UCSF), where he served as chief of staff for the Department of Surgery.

Deb Nolan returns to CDSS as Associate Dean for Faculty

Deb Nolan, emeritus professor of statistics at UC Berkeley and former associate dean for undergraduate education at the Division of Computing, Data Science, and Society, has returned to CDSS as Associate Dean for Faculty for the spring 2022 semester.

CDSS top communicator, EECS and CCB professors honored by AAAS as 2021 fellows

The American Association for the Advancement of Science (AAAS) elected the Division of Computing, Data Science, and Society’s (CDSS) top communicator and three affiliate faculty members to be AAAS fellows, one of the scientific community’s highest honors, the group announced today.

Nine CDSS Faculty Among Latest Chan Zuckerberg Biohub Cohort

Nine faculty members from UC Berkeley Division of Computing, Data Science, and Society (CDSS) affiliates will conduct groundbreaking biomedical research as part of the second Chan Zuckerberg Biohub Investigators cohort that was recently announced.