This module provides an overview of Microsoft's responsible AI principles, guidelines, and standards.
By the end of this module, you're able to:
- Recognize the importance of adaptive learning in AI systems.
- Develop the ability to assess how clearly articulated capabilities and performance expectations of AI systems contributes to building user trust.
- Analyze the foundational principles that guide the Microsoft Responsible AI Standard Playbook.
Discover Microsoft's commitment to ethical AI. Learn about the principles of responsible AI - fairness, reliability & safety, privacy & security, transparency, inclusiveness, and accountability specifically for a learning environment. Principles that are designed to guide and shape the future of AI development and usage.
By the end of this module, you'll be able to:
- Analyze the importance of using real-world data to evaluate the fairness of AI systems.
- Assess how Microsoft's responsible AI standard facilitates accessibility and inclusion for users through alternative interaction methods.
- Evaluate the role of role-based access controls in maintaining the security of AI systems and protecting learner data.
Go beyond theory and learn how to implement Responsible AI framework into a learning environment. Learn through real-world examples and interactive exercises. This module is designed to help integrate AI systems into various work environments.
By the end of this module, you are able to:
- Evaluate the risks of utilizing AI for personalized learning to identify potential setbacks.
- Assess the considerations necessary to ensure fairness when implementing AI systems in educational settings.
- Analyze privacy measures that are essential for protecting personal information within AI systems used in education.

Syllabus

Introduction to Microsoft's Responsible AI Approach
- Introduction
- Discover Microsoft's responsible AI principles
- Use guidelines for human-AI interaction
- Follow the responsible AI standard playbook
- Module assessment
- Summary
Apply responsible AI principles in learning environments
- Introduction
- Consider the fairness principle
- Explore the reliability & safety principle
- Examine the privacy and security principle
- Apply the inclusiveness principle
- Use the transparency principle
- Implement the accountability principle
- Module assessment
- Summary
Guided project - Embrace responsible AI
- Introduction
- Prepare
- Exercise - Evaluate case studies on using AI responsibly
- Review responsible AI implications on case studies
- Exercise - Design AI systems responsibly
- Exercise - Implement an AI system into an organization
- Review factors to consider
- Module assessment
- Summary