Introduction to Auditing AI Systems
Introduction to Auditing AI Systems
Duration: 1h 19m | .MP4 1280x720, 30 fps(r) | AAC, 48000 Hz, 2ch | 153 MB
Genre: eLearning | Language: English
Duration: 1h 19m | .MP4 1280x720, 30 fps(r) | AAC, 48000 Hz, 2ch | 153 MB
Genre: eLearning | Language: English
AI regulation is here, so you may be wondering how to adapt. And if you’re an enterprise organization, startup, or AI practitioner, you probably already know that there are very few existing training resources for technical teams. In this course, instructor Ayodele Odubela gives you a hands-on overview of how to assess AI for bias and discrimination to create fairer AI systems.
Explore the fundamentals of the latest regulations governing the use of AI technology, as well as how to navigate the different phases of AI audits in technical terms. Learn how federal discrimination laws can impact AI systems, how to audit both high- and low-risk AI, and how to collect, develop, or purchase benchmark data for auditing and policy review. Ayodele shows you the basics of calculating model fairness and what principles to prioritize and why, including explainability, transparency, compliance, and documentation. Upon completing this course, you’ll be more aware of how to use generative AI tools to mitigate algorithmic bias.
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