FPF Training: Building a Responsible AI Program | June 18, 2024

FPF Training: Building a Responsible AI Program | June 18, 2024

FPF Training: Building a Responsible AI Program | This training will be a live virtual session.

By Future of Privacy Forum

Date and time

Tuesday, June 18 · 10am - 12pm PDT

Location

Online

Refund Policy

Contact the organizer to request a refund.
Eventbrite's fee is nonrefundable.

About this event

  • 2 hours

Join the Future of Privacy Forum for a live-virtual session on the Building a Responsible AI Program on Tuesday, June 18, 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!


In the Future of Privacy Forum’s training on “Building a data & AI oversight program”, participants will learn about the most used frameworks for AI governance and appropriate governance intervention points in the AI development lifecycle. From the basics of how to add AI governance to existing data governance structures to scaling AI transparency & accountability assessments, this course will provide you with the knowledge to build and scale a program to meet existing and upcoming regulatory requirements.


Learning Objectives:

  • The current state of Responsible & Trustworthy AI Frameworks and how to choose what for your situation
  • How to approach the key RAI components: fairness, transparency, privacy, safety & security, accountability
  • Where are the best assessment and intervention points in the machine learning and AI lifecycle
  • From piloting to scaling implementation, how to assess the effectiveness of a Responsible AI Program
  • Successful approaches to company & employee RAI training


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.

Organized by

$195 – $375