- Module 1: 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.
- Module 2: 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.
Responsible use of artificial intelligence in education
Overview
Syllabus
- Module 1: Module 1: 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
- Knowledge check
- Summary
- Module 2: Module 2: 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
- Knowledge check
- Summary
