Linkedin Learning – Building Trustworthy AI Systems: Transparency, Explainability, and Control with ISO/IEC TR 24028
English | Tutorial | Size: 92.12 MB
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.
RAPIDGATOR:
rapidgator.net/file/505971f5af17390bb9bbd5db4e6a184c/Linkedin.Learning.Building.Trustworthy.AI.Systems-Transparency.Explainability.And.Control.With.ISO.IEC.TR.24028.BOOKWARE-SCHOLASTiC.rar.html