Building a Responsible AI Program

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building a responsible ai program

FPF is pleased to offer our evergreen topic this fall, Building a Responsible AI Program.

In the Future of Privacy Forum’s training on Building a Responsible AI 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’s best for your company.
  • How to approach the key RAI components: fairness, transparency, privacy, safety & security, accountability.
  • Where the best assessment and intervention points are 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.
rai badge

Upon completing the training, participants will receive IAPP CPE Credits and a digital badge from our partner, Credly, recognizing your newfound knowledge ​and demonstrating your commitment to staying at the forefront of privacy developments.

This course is also available as a Private Training

All of our Public trainings are also available for you to internally bring to your team or organization as a Private Trainings

MEET OUR TRAINING 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.

Additional public Trainings

Name Date Pricing
The AI Regulatory Landscape in the U.S November 14, 2024 @ 1:00 – 3:00 PM $195 – $375 Register
Biometrics: From Head to Toe December 3, 2024 @ 1:00 – 3:00 PM $195 – $375 Register CLE Credits Offered
EU AI Act December 12, 2024 @ 10:00 AM – 12:00 PM EST/16:0 – 18.0H (4:00 – 6:00 PM) CET $195 – $375 Register

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.