#42 - The Trust Equation: Building Reliable and Trustworthy AI Systems

Dive into the intricate world of trustworthy AI in this enlightening episode. Discover the multifaceted nature of trustworthiness, from accuracy and reliability to fairness and transparency. Explore the methodologies, technologies, and industry practices shaping trustworthy AI systems. Learn from real-world case studies and envision the promising future of AI that's not just intelligent but also trustworthy. Join us as we unravel the importance of trust in AI for its broader acceptance and effectiveness.
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Resources used in this episode:

1. In AI We Trust: Ethics, Artificial Intelligence, and Reliability [Link].
2. The relationship between trust in AI and trustworthy machine learning technologies [Link].
3. Toward Trustworthy AI Development: Mechanisms for Supporting Verifiable Claims [Link].
4. Trustworthy Artificial Intelligence: A Review [Link].
5. Blockchain for explainable and trustworthy artificial intelligence [Link].
6. Trustworthy AI in the Age of Pervasive Computing and Big Data [Link].
7. From Trustworthy Principles to a Trustworthy Development Process: The Need and Elements of Trusted Development of AI Systems [Link].
8. Toward Trustworthy AI Development: Mechanisms for Supporting Verifiable Claims [Link].
9. Bridging the Gap Between Ethics and Practice: Guidelines for Reliable, Safe, and Trustworthy Human-centered AI Systems [Link].
10. Trustworthy AI: From Principles to Practices [Link].