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Identify principles and practices for responsible AI

Offered By: Microsoft via Microsoft Learn

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Artificial Intelligence Courses Responsible AI Courses Fairness in AI Courses Ethical AI Courses AI Governance Courses

Course Description

Overview

  • Module 1: Explore six principles to guide AI development and use - fairness, reliability and safety, privacy and security, inclusiveness, transparency, and accountability

    • 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.
  • Module 2: Learn guiding principles for organizations, and how to choose and operationalize a governance system to responsibly and successfully use AI in the enterprise.

    • In this module, you will:

    • Determine the elements of an AI governance system.
    • Choose an AI governance model that fits your organization’s needs.
  • Module 3: Discover how to translate your organization’s ethical principles into actionable guidance and tools for engineering teams and how AI can improve lives worldwide

    • 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.

Syllabus

  • Module 1: Identify guiding principles for responsible AI
    • 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
  • Module 2: Identify governing practices for responsible AI
    • 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
  • Module 3: Discuss practices for responsible AI at Microsoft
    • 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

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