Join the Future of Privacy Forum for a live-virtual session on the Fundamentals of AI & Machine Learning on Tuesday, May 7, from 1:00PM - 3:00PM ET.
Groups of 3 or more are eligible for a special group rate. Please send us an email at rsvp@fpf.org to receive your discount today!
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
This training will be a live virtual session.
After completing each training course, you will receive a digital badge from Credly that can be shared on your professional network as a mark of the skills you’ve acquired.
FPF Faculty:
Jevan Hutson, Associate, 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.
