When (UC Noyce Initiative researcher) Ziad Obermeyer was a resident in an emergency medicine program, he found himself lying awake at night worrying about the complex elements of patient diagnoses that physicians could miss. He subsequently found his way to data science and research and has since coauthored numerous papers on algorithmic bias and the use of AI and machine learning in predictive analytics in health care.

Two teams of researchers led by Marina Radulaski, assistant professor of electrical and computer engineering, recently won University of California grants — including one from the UC Noyce Initiative — that promise to give scientists a better understanding of quantum information sciences—a rapidly-emerging technology that stands to transform the way society interacts with computers and technology.

Online life has become increasingly mediated by Artificial Intelligence (AI).

Nearly 70% of all videos watched on YouTube are recommended by its AI algorithm, and that number is even higher on social media services like Instagram and TikTok. Though these AI algorithms can help users find content that’s interesting to them, they raise serious privacy concerns and there is growing evidence that people are being radicalized by some of the recommended content they consume online.