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دسته بندی دوره ها

Algorithmic Auditing and Continuous Monitoring

سرفصل های دوره

As artificial intelligence becomes integrated into nearly every sector, establishing robust AI governance processes will be critical to maximizing its benefits and mitigating risks. Legislative acts like the EU AI Act in 2023—which will require any developer of a high-risk AI system seeking to enter the EU market to implement algorithmic auditing—and the NIST AI Risk Management Framework in the United States mean that companies that implement algorithmic auditing and continuous monitoring are poised to have a market advantage.

In this course, Brandie Nonnecke teaches you how to implement effective algorithmic auditing and continuous monitoring processes in your organization. Learn responsible AI governance, as Brandie covers mandatory and voluntary processes for auditing and monitoring AI systems, and provides case studies where you can work through an appropriate auditing and monitoring process.


01 - Introduction
  • 01 - Algorithmic auditing and continuous monitoring uses
  • 02 - Responsible AI principles and practices

  • 02 - 1. Algorithmic Auditing and Continuous Monitoring
  • 01 - What is algorithmic auditing
  • 02 - What is continuous monitoring
  • 03 - Voluntary and required algorithmic auditing
  • 04 - Algorithmic auditing and the job market

  • 03 - 2. Skills for Algorithmic Auditors and Continuous Monitoring Teams
  • 01 - Establishing an effective governance structure
  • 02 - Data collection and analysis
  • 03 - Identifying and managing bias
  • 04 - Setting up a continuous monitoring process

  • 04 - 3. Case Study Auditing and Continuous Monitoring Tools and Techniques in Practice
  • 01 - Case study RedTech 30
  • 02 - RedTech 30 Governance structure
  • 03 - RedTech 30 Data sampling
  • 04 - RedTech 30 Data and code review
  • 05 - RedTech 30 Testing and debugging
  • 06 - RedTech 30 Continuous monitoring

  • 05 - Conclusion
  • 01 - Responsible AI resources
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    تاریخ انتشار: 12 آذر 1402
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