FPF Training Program:
Fundamentals of AI & Machine Learning

May 7, 2024 @ 1:00pm - 3:00pm ET


FPF’s Training Program provides an in-depth understanding of today’s most pressing privacy and data protection topics. FPF staff experts design the sessions for professionals who develop policies for their organizations, work with clients on complex privacy issues, or those interested in emerging privacy topics.

With the increasing awareness of AI, especially generative AI, machine learning and AI are presenting new challenges for data governance in companies ranging from online service providers to retail. Generative AI can be considered a category of artificial intelligence that “generate[s] new outputs based on the data they have been trained on.” Large Language Models (LLMs) are machine learning models that are trained to process large amounts of data to generate natural language.

In the Future of Privacy Forum’s training “Fundamentals of AI & Machine Learning” participants will learn about the current state of ML &AI, explore the associated opportunities and challenges, data governance considerations, as well as sector specific applications.

Learning objectives:

  • What are machine learning and AI, from supervised learning to neural networks and reinforcement learning
  • How generative AI and Large Language Models (LLMs) are used and their implications
  • Understand the impact of data collection, labeling, and use on the performance of ML & AI systems
  • Appreciate the types of bias, harms, and the range of possibilities in AI systems for bias to occur

After completing each training course, you will receive IAPP CPE credits and a digital badge from Credly that can be shared on your professional network as a mark of the skills you’ve acquired.

Government/Non-Profit Rate
FPF Member Rate
Non-Member Rate

Cancellation Policy

Cancellations will be honored, minus our vendor’s processing fee, up to 3 days prior to the session. For cancellations after that date, we will honor the registration for the next scheduled date of this session or an alternate FPF training class.

FPF Faculty

Jevan Hutson

Associate, Davis Wright Tremaine LLP

Jevan Hutson is an Associate at Davis Wright Tremaine LLP. Jevan is a respected expert and thought leader on artificial intelligence (AI) and machine learning (ML) ethics, law, and policy. His practice focuses on the intersection of privacy, security, and data ethics, with experience in emerging ethical and policy issues in generative AI, large language models (LLMs), ML, and computer vision (CV). He helps clients assess and mitigate the reputational, regulatory, and legal risks associated with the development and deployment of AI/ML technologies.