Understanding Digital Data Flows:
Fundamentals of AI & Machine Learning

February 8 @ 11am -1pm ET

Individual Rate: $350 per person
Discounted FPF Supporter Rate: $250 per person

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Overview

Using AI responsibly and with a reasonable return on investment requires a whole of business commitment. But, understanding AI and Machine Learning can seem beyond the ability of experts in legal, human resources, or marketing. If you don’t know your Kubernetes from your KNN, then the “Fundamentals of AI & Machine Learning” course is a crash course to accelerate your learning about machine learning.

In this session, attendees will be introduced to:

  • Essential terminology for machine learning, including terminology for data architecture, data cleaning, algorithmic forms, and machine learning performance metrics,
  • Three classic machine learning research papers and will learn how to read these as a well-informed layperson, able to speak more fluently with machine learning team members in your organization.

Trainers

Brenda Leong

Senior Counsel & Director of AI & Ethics

Brenda oversees development of privacy analysis of AI and Machine Learning technologies, and manages the FPF portfolio on biometrics and digital identity, along with the ethics challenges of these emerging systems. Read her full bio.

Dr. Sara Jordan

Senior Counsel for AI & Ethics

Sara’s profile at FPF includes privacy implications of data sharing, data and AI review boards, privacy analysis of AI and Machine Learning (AI/ML) technologies, and analysis of the ethics challenges of AI/ML. Read her full bio.