Identify principles and practices for responsible AI

In this module, you will:

• Describe the importance of engaging with AI in a responsible manner.
• Identify six guiding principles to develop and use AI responsibly.
• Describe different approaches to responsible AI governance from experienced executives.

In this module, you will:

• Determine the elements of an AI governance system.
• Choose an AI governance model that fits your organization’s needs.

In this module, you will:

• Explain how Microsoft provides accountability for responsible AI through a governance structure.
• Describe how Microsoft risk management processes are used to identify, assess, and mitigate risks.
• Establish responsible design principles within your own organization.

• Introduction
• Implications of responsible AI - Leadership view
• Implications of responsible AI - Practical guide
• Identify guiding principles for responsible AI
• Identify guiding principles for responsible AI – TD Bank Group executive Q&A
• Identify guiding principles for responsible AI – State Farm executive Q&A
• Identify guiding principles for responsible AI – State Farm case study
• Knowledge check
• Summary and resources

• Introduction
• Responsible AI - Establishing a governance and external engagement model
• Choosing an organizational model for AI governance
• Responsible AI - Moving from governance to compliance with EY
• Knowledge check
• Summary and resources

• Introduction
• Microsoft AI governance model - Executive overview
• Understanding the Microsoft governance model - AETHER + Office of Responsible AI
• Responsible AI frameworks in action
• Establishing design principles and guidelines in engineering
• Engineering tools for responsible AI
• Engaging externally - AI for good
• Knowledge check
• Summary and resources