An important part of AI literacy is learning which AI options are best suited to which uses (and when to evaluate and safely procure new tools – and when to hold off.) We focus in this post on four considerations to use as a starting point to help define an AI use-case’s needs and the right approach

LinkedIn Learning’s Responsible AI course, taught by Berkeley academics, starts with a conceptual overview on what AI is and isn’t– followed by a balanced consideration of benefits and risks.

From engineering to smart prompting to social impact, considerations on how to use AI are vast and rapidly evolving, integrated into every app and tool we’re using today– a daily explosion of new opportunities and challenges to consider.

An overview of Berkeley’s approach to AI governance and community engagement, balancing innovation with responsible implementation through foundational governance, community building, and functional governance.

January 28th brings another Data Protection Day. Five years ago today we launched UC Berkeley’s “bConnected Transparency Report” to give our students, faculty, and staff a clear idea about how the University handles their personal information in services like Google, Box, and Sharepoint.

We live in a world awash in data. As individuals and as a society we need to learn how to better understand, analyze, and use it. To that end, Berkeley recently started an exciting initiative to teach every undergraduate the fundamentals of data science.