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Algorithmic Auditing and Continuous Monitoring

Offered By: LinkedIn Learning

Tags

Data Analysis Courses AI Ethics Courses Algorithmic Bias Courses Continuous Monitoring Courses Responsible AI Courses AI Governance Courses

Course Description

Overview

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Learn responsible AI governance, including how to establish a robust algorithmic auditing and continuous monitoring process.

Syllabus

Introduction
  • Algorithmic auditing and continuous monitoring uses
  • Responsible AI principles and practices
1. Algorithmic Auditing and Continuous Monitoring
  • What is algorithmic auditing?
  • What is continuous monitoring?
  • Voluntary and required algorithmic auditing
  • Algorithmic auditing and the job market
2. Skills for Algorithmic Auditors and Continuous Monitoring Teams
  • Establishing an effective governance structure
  • Data collection and analysis
  • Identifying and managing bias
  • Setting up a continuous monitoring process
3. Case Study: Auditing and Continuous Monitoring Tools and Techniques in Practice
  • Case study: RedTech 30
  • RedTech 30: Governance structure
  • RedTech 30: Data sampling
  • RedTech 30: Data and code review
  • RedTech 30: Testing and debugging
  • RedTech 30: Continuous monitoring
Conclusion
  • Responsible AI resources

Taught by

Brandie Nonnecke

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