AI Today Podcast: Artificial Intelligence Insights, Experts, and Opinion
Explainable AI Concepts [AI Today Podcast]
Mar 15, 2024
The podcast delves into the Explainable AI Layer of the Cognilytica Trustworthy AI Framework, discussing the importance of AI algorithms being able to explain decisions. It explores the significance of transparent AI systems in building trust, highlighting pitfalls of black box technology. The contrast between explainable algorithms and less transparent machine learning approaches is also emphasized.
07:29
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Quick takeaways
- Explainable AI Layer focuses on understanding system behavior to make black boxes less opaque.
- Choosing white box algorithms can provide more explainable outcomes compared to black box algorithms.
Deep dives
Importance of Trustworthy AI
Building trustworthy AI is crucial for ensuring transparency and understanding in AI systems. The conversation around trustworthy AI and the need for explainable AI has been prominent in the past year. Trustworthy AI involves understanding the five layers of trustworthy AI, with a focus on explainable AI and interpretability to ensure humans can comprehend decision-making processes. Ensuring that AI systems offer understandability and root cause explanations when failures occur is essential for building trust in AI technology.
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