Building a Responsible AI Program: Context, Culture, Content, and Commitment
1h 30mBeginner2024-04-10
Authors

Katrina Ingram
Course details
Organizations who use artificial intelligence need to ensure they do so in a socially responsible way, and in this course, Katrina Ingram, the Founder and CEO of Ethically Aligned AI, shows you how to implement a framework to operationalize responsible AI. Katrina shows you how to implement a 4Cs framework—context, content, culture, and commitment—as the basis for a responsible AI program, and provides practical examples of the framework in action. She also explains how to connect AI ethics to organizational values, who should be involved in a Responsible AI program, how to assess and augment governance structures to include oversight for AI, how to think about and use data responsibly, and more. Plus, learn about a process and structure to handle ethical deliberations and how to apply ethics tools to support a responsible AI program.
Skills covered
Project LeadershipResponsible AIProject ManagementArtificial Intelligence (AI)One-Off
Concepts
0. Introduction
- 01 - Actionable steps to responsible AI
- 02 - Moving from principles to practice
- 03 - Introducing the Landon Hotel
1. Context - Law, Ethics, and AI Risk
- 04 - Connector - Start with context
- 05 - The AI legal landscape
- 06 - Understanding ethical AI risks
- 07 - Getting clear on organizational values and AI risks
- 08 - The AI ethics statement, policies, and metrics
2. Context - AI in Your Organization
- 09 - Documenting AI
- 10 - Procurement and Shadow AI
3. Culture - Establishing Governance Structures
- 11 - Connector - From context to culture
- 12 - Tone at the top
- 13 - Existing roles
- 14 - The AI ethics committee
- 15 - Diversity and stakeholders
4. Content - Managing Data and AI Models
- 16 - Connector - From culture to content
- 17 - The big three - Privacy, bias, and explainability
- 18 - Addressing privacy, bias, and explainability in your AI program
- 19 - Data done right
- 20 - Document, document, document
- 21 - Environmental impacts
- 22 - A brief word about cybersecurity
5. Commitment
- 23 - Connector - Moving to commitment
- 24 - Model drift and monitoring
- 25 - The role of independent audit
- 26 - Nurturing a responsible AI culture
Conclusion
- 27 - The journey of responsible AI
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