Artificial Intelligence · · 73 min
The Road to Responsible AI
Serg Masis — Author, Interpretable Machine Learning with Python
Summary
How do we build trust in AI systems? Paul Anthony Claxton and Rohan Hall sit down with Serg Masis, author of Interpretable Machine Learning with Python. They explore the "trust equation" — from breaking open the black box to ensuring responsible, explainable AI. Transparency, human oversight and ethics are key to AI's future.
Key takeaways
- Building trust in AI systems.
- The "trust equation".
- Breaking open the AI black box.
- Responsible and explainable AI.
- Why transparency matters.
- The role of human oversight and ethics.
Transcript
The full transcript for this episode is coming soon.
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Link
https://explainableai.show/episodes/the-road-to-responsible-ai
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I joined Rohan Hall and Paul Anthony Claxton on Explainable AI to talk about "The Road to Responsible AI". Watch or listen: https://explainableai.show/episodes/the-road-to-responsible-ai
Hosted by Rohan Hall and Paul Anthony Claxton. More from the show at rohanhall.com/podcast · Meet the hosts