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

Governed AI Concepts [AI Today Podcast]

Mar 8, 2024

Delve into the importance of AI audit trails and traceability for accountability and compliance. Explore the need for governance and controls in AI systems, along with the significance of implementing controls to prevent negative outcomes. Learn about Trustworthy AI certification and upcoming AI Today podcast episodes and resources.

15:35

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Quick takeaways

Establishing AI audit trails is essential for accountability and compliance with regulatory standards.

Implementing controls for AI system development and data governance is crucial for ensuring trust and stability in AI operations.

Deep dives

Importance of Trustworthy AI Framework

Ensuring trustworthy AI systems is crucial in the evolving landscape of AI technology. The podcast emphasizes the significance of AI governance within the Trustworthy AI framework. Elements such as system auditability, contestability, risk assessment, and mitigation play key roles. Organizations need to have methods in place for ongoing risk assessment, compliance with ethical guidelines, and proper education and training for individuals involved in AI system creation and use.

Introduction

5min

Importance of AI Audit Trails and Traceability for Accountability and Compliance

4min

Ensuring Governance and Controls in AI Systems

3min

Importance of Implementing Controls in AI Systems and Trustworthy AI Certification

3min

Anyone looking to use and/or develop AI systems need ways that maintain trust, provide visibility and transparency, and utilize processes and methods that can provide greater oversight and accountability for potent AI systems that need to address – the layers of trustworthy AI. In this episode of the AI Today podcast Cognilytica thought leaders Kathleen Walch and Ron Schmelzer go over the Governed AI layer of the Cognilytica Trustworthy AI Framework.

Continue reading Governed AI Concepts [AI Today Podcast] at Cognilytica.

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