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Introduction to Auditing AI Systems

via LinkedIn Learning

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Overview

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Learn the fundamentals of how to adapt to and comply with AI regulation in this introductory course on auditing AI systems for bias and discrimination.

Syllabus

Introduction

Welcome to the new world of AI audits

1. New Paradigm of AI Audits

What is an AI audit?
How are audits used?
The state of AI legislation
Ethics of scoring and classifying humans

2. Why Audit AI Systems?

AI audit limitations and opportunities
Development workflows
AI performance
Statistical parity

3. Data for AI Audits

Data for auditing AI
Sources of bias in data
Types of bias and data sampling methods

4. Principles for AI Audits

Why explainability matters
Levels of transparency
Responsible AI principles: Compliance
Preparing for AI regulation

5. Model Audits

Types of model audits
Stages of a model audit
Model audit: Home loans
Auditing training data
Audit outcomes: Explainability statements
Continuous audits

Conclusion

Generative AI
Next steps

Taught by

Ayodele Odubela

Reviews

4.7 rating at LinkedIn Learning based on 79 ratings

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