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

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

Transparent AI Concepts [AI Today Podcast]

Mar 4, 2024
The podcast discusses the importance of transparent AI concepts, including managing and running AI systems, addressing visibility into AI creation and application, exploring challenges in AI training data, and highlighting the role of transparency in building trust with users.
06:32

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Quick takeaways

  • Transparency in AI systems builds trust by providing visibility into data processes and model design.
  • The Trustworthy AI Framework emphasizes transparency, bias mitigation, open systems, disclosure, and consent for trustworthy AI implementation.

Deep dives

Importance of Transparency in AI Systems

Transparency in AI systems is vital for engendering trust, as it provides visibility into the data collection, aggregation, and model design processes. Without transparency, users cannot understand the basis for AI decisions and may face challenges in detecting and addressing data issues. By offering visibility into all system components, organizations can build trust and address problems early on to ensure the system's accuracy and reliability.

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