Training and resources
I will need training for all of this. How do I find the right training for questions that I have?
This section shows the recommended phases of GenAI training based on staff level. It also includes an overview of the training series CalHR is developing to meet the state workforce’s various needs in regard to GenAI.
Training modules
GenAI is a new and rapidly evolving technology, so training is important to responsibly and safely understand and use GenAI tools. CalHR is creating a comprehensive training series to prepare state staff of all levels to support secure and responsible use of GenAI that achieves equitable outcomes and mitigates potential output inaccuracies and biases. The trainings are intended to support safe, secure, and responsible business implementation, ethical use of AI technology, and state staff learning and development.
State entities should consider a phased approach to workforce GenAI training. First, your department’s Executive leadership, GenAI leads, legal, labor, and privacy specialists should be trained. Next, the business owners and the technical experts who oversee programs that are likely to consider GenAI tools should be trained. Then, the general workforce of your department should receive training on GenAI.
The table below summarizes GenAI training modules according to the needs of different audiences and skillsets. As training modules and resources become available, this table will link to those resources.
General Education
Foundational introduction to AI, types of AI, potential business applications, potential risks, and comparing conventional AI versus GenAI.
Key Questions Answered Through this Training:
- What is AI?
- What are the different types of AI?
- What is the difference between Conventional AI and GenAI?
- What are common business uses of AI?
- What are the risks of AI?
Module 1: Introduction to GenAI, basic functional concepts, potential use cases, and risk mitigation.
Key Questions Answered Through this Training:
- In simplified terms, how does GenAI work?
- What are the potential use cases of GenAI?
- What risks are associated with GenAI, and how can they be mitigated?
- What is the State’s role in ensuring safe, secure, and responsible business implementation of GenAI?
Module 2: Legal and privacy considerations of GenAI, data ownership, product ownership, and managing privacy risks.
Key Questions Answered Through this Training:
- How do state government information privacy policies apply to GenAI?
- How do state government data and product ownership policies apply to GenAI?
- What potential privacy risks exist with GenAI compared to conventional AI?
- What are the best practices to mitigate privacy risks with GenAI?
- How do state entities utilize the state’s risk assessment process for GenAI use cases?
Risk Intelligent GenAI Competencies
Module 1: Introduction to GenAI, basic functional concepts, potential use cases, and risk mitigation.
Key Questions Answered Through this Training:
- In simplified terms, how does GenAI work?
- What are the potential use cases of GenAI?
- What risks are associated with GenAI, and how can they be mitigated?
- What is the State’s role in ensuring safe, secure, and responsible business implementation of GenAI?
Module 2: Legal and privacy considerations of GenAI, data ownership, product ownership, and managing privacy risks.
Key Questions Answered Through this Training:
- How do state government information privacy policies apply to GenAI?
- How do state government data and product ownership policies apply to GenAI?
- What potential privacy risks exist with GenAI compared to conventional AI?
- What are the best practices to mitigate privacy risks with GenAI?
- How do state entities utilize the state’s risk assessment process for GenAI use cases?
Technical Training
Module 1: GenAI infrastructure, model management, model training, and output monitoring.
Key Questions Answered Through this Training:
- How is data prepared for model training?
- What are GenAI model training methods?
- What are best practices of output monitoring?
- What are best practices for preventing and troubleshooting model collapse?
Module 2: Security considerations of GenAI, information security, and cybersecurity threat protection.
Key Questions Answered Through this Training:
- What are the information security considerations of GenAI?
- What are best practices of cybersecurity protection against GenAI threats?
- What are best practices for controlling information access by GenAI models?
For Technical GenAI Training, visit Generative AI Technical Training
Procurement GenAI Training
Procurement training is accessible to state purchasing officials for identifying GenAI purchases, understanding the different levels of risks associated, and navigating GenAI purchase process flows. This training is part of the California Procurement and Contracting Academy (CalPCA).
Additional Definitions and Resources
Definitions
The following additional definitions are from California’s Definitions for Artificial Intelligence (AI) and GenAI (SAM 4819.2). Definitions follow the below order of adoption:
- National Institute of Standards and Technology (NIST)
- CA Government Code
- White House EO AI
- GovOps/CDT AI/GenAI publications
- Other technology leader sources
Algorithm - A clearly specified mathematical process for computation; a set of rules that, if followed, will give a prescribed result.
Artificial Intelligence (AI) - A machine-based system that can, for a given set of human-defined objectives, make predictions, recommendations, or decisions influencing real or virtual environments. Artificial intelligence systems use machine- and human-based inputs to perceive real and virtual environments; abstract such perceptions into models through analysis in an automated manner; and use model inference to formulate options for information or action.
Automated Decision System - A computational process derived from machine learning, statistical modeling, data analytics, or artificial intelligence that issues simplified output, including a score, classification, or recommendation, that is used to assist or replace human discretionary decision making and materially impacts natural persons. An “automated decision system” does not include a spam email filter, firewall, antivirus software, identity and access management tools, calculator, database, dataset, or other compilation of data.
Chatbot - Computer programs that simulate and process human conversation, either written or spoken, to allow humans to interact with digital devices as if they were communicating with a real person.
Consequential Decisions - A decision or judgment that has a legal, material, or similarly significant effect on an individual’s life relating to the impact of, access to, or the cost, terms, or availability of, any of the following:
- Employment, workers management, or self-employment.
- Education and vocational training.
- Housing or lodging.
- Essential utilities.
- Family planning and child protective services.
- Health care or health insurance.
- Financial services.
- The criminal justice system.
- Legal services.
- Voting.
- Access to benefits or services or assignment of penalties.
Generative AI (GenAI) - Pretrained AI models that can generate images, videos, audio, text, and derived synthetic content. GenAI does this by analyzing the structure and characteristics of the input data to generate new, synthetic content similar to the original. Decision Support, Machine Learning, Natural Language Processing/Translation Services, Computer Vision and Chatbot technologies or activities support or may be related to GenAI, but they are not GenAI on their own.
Large Language Model - A specialized type of artificial intelligence (AI) that has been trained on vast amounts of text to understand existing content and generate original content. person.
Machine Learning - A set of techniques that can be used to train AI algorithms to improve performance at a task based on data.
Natural Language Processing - Takes communications by humans and transforms the information into something more suitable for computer use and analysis. result.
Resources
State Information Management Manual
Benefits and Risks of Generative Artificial Intelligence Report (November 2023)
White House's Blueprint for an Al Bill of Rights
National Institute for Standards & Technology's Al Risk Management Framework
Artificial Intelligence Community
5305-F Risk assessment work flow - GenAI toolkit
