UC Berkeley AI Community

Welcome to the UC Berkeley AI Community! If you are a current staff, faculty or student, this community is for you - you belong here and are welcome regardless of your level of knowledge or experience with AI.

Why We Created This Community

Artificial intelligence is just beginning to come of age. Although the field of AI in all its forms has been around for more than seventy years, the latest waves of new AI capabilities have transformed what's possible in meaningful ways, reminiscent of the rise of the internet or the inception of public cloud and mobile computing. These technological advances along with the rise of computing power and the acceleration of new capabilities will deeply impact core functions of teaching, learning, research and administration at all universities. Advances are occurring across many domains of AI-- and the community of practice encompasses this wider interpretation-- from machine learning, natural language processing, and robotics, including generative AI and also inquiry into AI ethics, explainable AI and knowledge representation.

In order to meet this moment effectively, UC Berkeley will benefit from a loosely-coordinated, community-driven approach to learning, spreading information and developing expertise for the University. The UC Berkeley AI Community is being chartered with the sponsorship of several campus units to engage people, collectively spread our best ideas and thinking, and to act as an umbrella for work with, and in support of, AI at Berkeley. The UC Berkeley AI Community provides an inclusive environment for interested people of all abilities and backgrounds, from beginners to expert practitioners.

The UC Berkeley AI Community also hosts the Berkeley AI Meetup to showcase challenges, inquiry, expertise and innovations of interest to UC Berkeley, our peers across the UC system and at other universities, and the general public. 

How To Join

Any current member of the UC Berkeley community is eligible to join here (CalNet ID required) https://groups.google.com/a/lists.berkeley.edu/g/ucb-ai-community/

Goals

  • Provide a hub for people across Berkeley, working on all forms of AI, to find each other

  • Provide a space for institutional expansion of knowledge, skills and abilities, and a culture of inclusive, responsible innovation for Berkeley staff from many departments and divisions

  • Foster community discovery, evaluation and sharing of AI related use-cases (scenarios), needs and approaches (including policy, services, etc.) that may effectively serve Berkeley's mission

  • Support the community in discovering trade-offs, better understanding risks and learning together about where different forms of AI are fit for various purposes

  • Provide input to campus governance bodies (e.g. IT Architecture & Infrastructure governance committee), on policies for using and deploying AI services

  • Leverage community voices in shaping campus technology capabilities as they relate to AI and automation (including security, identity management, network)

  • Foster input on Berkeley's AI technology investment priorities (both in staff time to support things and for funding needs to purchase services) and identifying economies of scale

  • Identify opportunities and areas of the most need to advocate for training related to AI – including to support career lattice and opportunities for staff, and also to support each other when jobs change

  • Create a collection of staff from among which leadership can identify subject matter experts to engage on projects or provide input on campus decisions

Guiding Principles

We are inclusive, innovative, collaborative, cross-cutting (staff/faculty/student, interdisciplinary). We listen to each other. We show respect to all people. We help Berkeley move nimbly and with agility. We adhere to UC Berkeley's Core Values. We balance grassroots with leadership perspectives for the good of the institution.

Planning Group

Department Planning Team Member
Berkeley CTO Bill Allison (co-chair)
Berkeley Graduate Division Kara Ganter (co-chair)
Berkeley IT Jenny Bombasaro Brady
Berkeley Library Lynne Grigsby
Data Science Discovery (DSUS) Anthony Suen
College of Engineering (COE) Greg Merritt
Office Of Ethics, Risk and Compliance Services (ERCS) Scott Seaborn
Public Affairs Adrianne Griffith
RTL - Research IT Nur Tzedek
RTL - Research IT / Lawrence Berkeley Lab (LBNL) Jeff D'Ambrogia
RTL - Center for Teaching and Learning (CTL) Jenae Cohn
University Development and Alumni Relations Jake Tolbert

Advisers

The following people are formal advisers to the UC Berkeley AI Community of Practice.

Department Adviser
CITRIS Policy Lab Brandie Nonnecke, PhD
Berkeley Changemaker™ Laura Hassner