Building Trustworthy AI Systems Transparency, Explainability, and Control with ISO IEC TR 24028

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Building Trustworthy AI Systems: Transparency, Explainability, and Control with ISO/IEC TR 24028
Released 01/2025
With Lyron Andrews
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Skill level: Intermediate | Genre: eLearning | Language: English + subtitle | Duration: 1h 17m 43s | Size: 186 MB​

Learn how to improve the trustworthiness of AI systems using explainability, transparency, and controllability, as outlined in the ISO/IEC TR 24028 standard.

Course details
As the global regulatory and legal environments work to catch up to the rapidly changing and evolving world of AI, many mandates have started to require proof of trustworthiness related to developing and deploying AI systems. In this course, instructor Lyron Andrews outlines how you can use the guidance from the ISO/IEC TR 24028 standard to leverage AI tools according to principles of trustworthiness, which include explainability, transparency, and controllability.
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