From the course: Algorithmic Auditing and Continuous Monitoring
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Responsible AI resources
From the course: Algorithmic Auditing and Continuous Monitoring
Responsible AI resources
- In this course, you learned responsible AI principles and how they form the foundation of effective algorithmic auditing and continuous monitoring. Before you go, I have some recommendations so you can apply what you've learned. If your organization is developing or implementing AI-enabled technologies, especially in high-risk areas such as healthcare or finance, it is important to put in place a robust algorithmic auditing and continuous monitoring process. Remember that it's not just important for the data scientists and engineers to be involved, but also C-suite executives, product managers, policy and legal teams. The National Institute of Standards and Technology, NIST, has developed the NIST AI Risk Management Framework. It's a helpful guide for AI risk identification and mitigation. You can find courses on NIST on LinkedIn, and many companies, including Microsoft, Amazon and Google offer continuous monitoring…
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