Tools and Resources

The UC Artificial Intelligence Risk Assessment Guide

The UC Artificial Intelligence Risk Assessment Guide is designed to help UC community members evaluate both the risks associated with using artificial intelligence in administrative settings and whether their intended use aligns with their location’s risk tolerance. The Guide connects AI-related risks to UC’s Responsible AI Principles, and aids users in identifying both aggravating and mitigating factors for each risk. Additionally, the Guide incorporates concepts and concerns developed within UC and by public sector leaders, such as the National Institute of Standards and Technology and the United States Government Accountability Office. To help users gather information from suppliers about the risks associated with their products and practices, the Guide includes an appendix with key questions to ask during the procurement process.

Users are encouraged to use the Guide to reassess risks throughout the AI system's lifecycle, at regular intervals, or when considering an AI model for different purposes or data. The Risk Assessment Subcommittee will continue to develop and adapt the Guide to reflect emerging best practices for managing the risks associated with AI and enable UC to adopt responsible AI with greater agility.

To provide feedback on the Guide, please complete this brief survey.

UC AI Core Primer: Core Concepts and Fundamentals

COMING SOON: The UC AI Core Primer: Core Concepts and Fundamentals is a comprehensive introduction to the world of Artificial Intelligence tailored for non-technical audiences. This training is designed to demystify AI and equip takers with a foundational understanding of its key concepts and implications. AI Primer modules include:

• The History of AI – Access AI’s journey from inception to its current state. Learn about the pivotal moments and breakthroughs that have shaped AI into the transformative technology it is today.
• What is AI? – Discover the various types of AI, including narrow AI and general AI, and understand how AI systems can perform tasks that typically require human intelligence. Delve into the subsets of AI, such as Machine Learning and Deep Learning. Learn how these technologies enable computers to learn from data, identify patterns, and make decisions with minimal human intervention.
• Ethics of AI – Get familiar with the UC AI Principles and how they guide the development and deployment of AI at the UC. Understand the ethical considerations and values that ensure AI is used responsibly and for the benefit of all.
• Governance Best Practices – Learn about the best practices for governing AI. Access strategies for overseeing AI systems to ensure they are developed and used in alignment with ethical standards and societal values.
• Take a Tour of ChatGPT: Delve into use cases for ChatGPT and other generative AI models, while gaining an understanding of necessary guardrails and best practices. 

These modules will equip users with the knowledge needed to engage in informed discussions about AI and appreciate the importance of responsible AI governance. Don't have time to take the whole Primer? Users have the option to take all or just a portion of the available modules to suit their interests and needs.

Legal Guidance

AI Alert

The University of California's Legal Alert on Artificial Intelligence Tools provides essential guidance for UC on the legal and ethical use of AI technologies. Aimed at university administrators, legal counsel, and compliance officers, this document highlights key considerations such as data privacy, output reliability, and the necessity of prior review for commercial AI tools. It underscores the importance of treating AI tools with the same diligence as any third-party service, ensuring adherence to UC's policies on procurement, privacy, and data security. 

Statement of Awareness on AI

Promote AI savviness in your department with this easy-to-read one-page Statement of Awareness on AI that briefly reinforces some of the risks associated with AI, highlights the red flags UC staff and faculty should be aware of, and steps to take to mitigate risk. 

Responsible Artificial Intelligence: Recommendations to Guide the University of California’s Artificial Intelligence Strategy

In August 2020, UC President Michael Drake and former UC President Janet Napolitano formed the Presidential Working charged with developing overarching principles and recommendations for UC’s current and future use of AI. 

The interdisciplinary group was composed of 32 faculty and staff from all 10 UC campuses. Over the course of a year, they developed the UC Responsible AI Principles in conjunction with a Final Report detailing guidance on strategies to operationalize the principles across four high-risk AI domains: health, human resources, policing, and student experience.

AI Glossary

The AI Glossary ensures the UC community —students, faculty, and staff—have a common understanding of key AI terms and concepts to foster clear communication, reduce misunderstandings, and support more effective collaboration in developing and deploying AI. It also aids in demystifying complex AI topics, making them more accessible to non-experts, which is crucial for informed decision-making and ethical AI use across various academic and administrative functions.