AI Today Podcast: Artificial Intelligence Insights, Experts, and Opinion cover image

AI Today Podcast: Artificial Intelligence Insights, Experts, and Opinion

AI Today Podcast: Trustworthy AI Series: Governed AI

Oct 4, 2023
The podcast discusses the importance of governance in AI and the need for controls, processes, and organizational structure. It emphasizes trustworthy AI practices, including system auditability and risk management. The chapter also explores the importance of building trust in AI systems through an appeals process and transparency. Additionally, it discusses the significance of establishing controls, compliance, and data governance to ensure trustworthiness. The podcast highlights the importance of monitoring and managing AI systems to maintain their trustworthiness.
24:08

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Quick takeaways

  • Governance is an essential aspect of building trustworthy AI systems, involving oversight, control, and visibility into the design, development, and usage of AI systems.
  • Auditability and contestability are critical components of governance, enabling organizations to audit decisions, gain operational control, and address questions about AI system operations.

Deep dives

The Importance of Governing AI Systems

Governed AI is one of the crucial layers of building trustworthy AI systems. It involves implementing controls, processes, and organizational structures that provide oversight, control, and visibility into the design, development, management, and usage of AI systems and the associated data. Trustworthy AI requires accountability, consent, disclosure, and other aspects falling under governance. System auditability and contestability are essential elements to consider, allowing organizations to audit and contest AI systems' decisions. Establishing periodic reviews, ensuring compliance with framework practices, and keeping an eye on data quality and model drift are key control measures. Ultimately, governance plays a critical role in building and maintaining trust in AI systems.

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