Building a Responsible AI Program Context, Culture, Content, and Commitment

سرفصل های دوره

01 - Introduction

01 - Actionable steps to responsible AI

02 - Moing from principles to practice

03 - Introducing the Landon Hotel

02 - 1. Context Law, Ethics, and AI Risk

01 - Connector Start with context

02 - The AI legal landscape

03 - Understanding ethical AI risks

04 - Getting clear on organizational alues and AI risks

05 - The AI ethics statement, policies, and metrics

03 - 2. Context AI in Your Organization

01 - Documenting AI

02 - Procurement and Shadow AI

04 - 3. Culture Establishing Goernance Structures

01 - Connector From context to culture

02 - Tone at the top

03 - Existing roles

04 - The AI ethics committee

05 - Diersity and stakeholders

05 - 4. Content Managing Data and AI Models

01 - Connector From culture to content

02 - The big three Priacy, bias, and explainability

03 - Addressing priacy, bias, and explainability in your AI program

04 - Data done right

05 - Document, document, document

06 - Enironmental impacts

07 - A brief word about cybersecurity

06 - 5. Commitment

01 - Connector Moing to commitment

02 - Model drift and monitoring

03 - The role of independent audit

04 - Nurturing a responsible AI culture

07 - Conclusion

01 - The journey of responsible AI

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تولید کننده: LinkedIn Learning (Lynda)