Building a Responsible AI Program Context, Culture, Content, and Commitment
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1:29:36
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01 - Actionable steps to responsible AI.mp4
00:47
02 - Moing from principles to practice.mp4
04:18
03 - Introducing the Landon Hotel.mp4
01:48
01 - Connector Start with context.mp4
01:37
02 - The AI legal landscape.mp4
05:10
03 - Understanding ethical AI risks.mp4
05:02
04 - Getting clear on organizational alues and AI risks.mp4
04:52
05 - The AI ethics statement, policies, and metrics.mp4
04:18
01 - Documenting AI.mp4
04:35
02 - Procurement and Shadow AI.mp4
04:11
01 - Connector From context to culture.mp4
00:49
02 - Tone at the top.mp4
03:30
03 - Existing roles.mp4
03:45
04 - The AI ethics committee.mp4
04:24
05 - Diersity and stakeholders.mp4
03:53
01 - Connector From culture to content.mp4
01:09
02 - The big three Priacy, bias, and explainability.mp4
04:24
03 - Addressing priacy, bias, and explainability in your AI program.mp4
05:33
04 - Data done right.mp4
04:13
05 - Document, document, document.mp4
03:13
06 - Enironmental impacts.mp4
02:54
07 - A brief word about cybersecurity.mp4
01:27
01 - Connector Moing to commitment.mp4
00:29
02 - Model drift and monitoring.mp4
04:04
03 - The role of independent audit.mp4
03:34
04 - Nurturing a responsible AI culture.mp4
03:09
01 - The journey of responsible AI.mp4
02:28
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Linkedin Learning
View courses Linkedin LearningLinkedIn Learning is an American online learning provider. It provides video courses taught by industry experts in software, creative, and business skills. It is a subsidiary of LinkedIn. All the courses on LinkedIn fall into four categories: Business, Creative, Technology and Certifications.
It was founded in 1995 by Lynda Weinman as Lynda.com before being acquired by LinkedIn in 2015. Microsoft acquired LinkedIn in December 2016.
- language english
- Training sessions 27
- duration 1:29:36
- English subtitles has
- Release Date 2024/07/21
