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

The Layers of Trustworthy AI Revisited [AI Today Podcast]

Jan 26, 2024
In this podcast, the hosts discuss the importance of trustworthy AI and the need for ethical guidelines. They delve into topics such as building AI for positive purposes, complying with regulations, and ensuring transparency and trustworthiness. The podcast also explores the different layers of trust in AI systems, including transparency, governed AI, contestability, and interpretable/explainable AI. Additionally, they emphasize the significance of addressing various AI layers and the availability of a trustworthy AI certification.
17:02

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Quick takeaways

  • The first layer of trustworthy AI is ethical AI, which focuses on building AI projects ethically, avoiding harm, and implementing strict controls if necessary.
  • The next layer of trustworthy AI is responsible AI, which emphasizes doing things the right way, complying with laws and regulations, and avoiding major workforce disruption.

Deep dives

Ethical AI: Guidelines for Building Trustworthy AI Systems

One of the first layers of trustworthy AI is ethical AI. This layer focuses on the guidelines and considerations for building AI projects ethically. It emphasizes the importance of avoiding harm, whether it be physical, emotional, financial, or environmental. The podcast highlights the need for guidelines and guardrails to prevent unethical implementation of AI, or to provide strict controls if necessary. The episode discusses the various ethical considerations in AI and the importance of addressing them to build trustworthy AI systems.

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