UC Berkeley CTO Blog

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.

Information about AI technology addons for University video conferences including OtterPilot and Zoom AI Companion.

Notes from the conference hosted by the Berkeley Language Center and the Townsend Center’s Language and AI working group exploring interdisciplinary connections between language, culture, and AI.

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.