Microsoft Responsible Ai Standard: Building Trustworthy Ai

Learn how Microsoft turns AI ethics into practical standards you can apply

What you'll learn

Explain Microsoft’s six Responsible AI principles

Describe the requirements of the Responsible AI Standard v2

Apply Responsible AI concepts across the AI lifecycle

Evaluate real-world case studies and future trends

Requirements

No prior experience with AI or ethics is required — this course is designed for beginners.

An interest in artificial intelligence, technology, or responsible innovation will be helpful.

(Optional) A free Microsoft Azure account if you’d like to try out the Responsible AI tools yourself.

Description

Artificial Intelligence is transforming the world — but with great power comes great responsibility. How do we make sure AI systems are fair, safe, transparent, and trustworthy? Microsoft has answered that challenge with the Responsible AI Standard, a practical framework that turns ethical principles into actionable requirements.In this course, you’ll learn exactly how Microsoft applies Responsible AI across the entire AI lifecycle — from planning and design, through development and deployment, to ongoing monitoring. We’ll break down the six core principles (Fairness, Reliability & Safety, Privacy & Security, Inclusiveness, Transparency, and Accountability), explore the Responsible AI Standard v2, and examine real-world case studies like the Tay chatbot and facial recognition bias. You’ll also look ahead to the future of AI regulation and generative AI, so you’re prepared for what’s coming next.Along the way, you’ll see how Responsible AI helps organizations reduce risk, meet regulatory expectations, and build trust with customers and society. You’ll gain insights not just into the theory, but also the governance practices, oversight processes, and cultural changes needed to make Responsible AI real inside an organization.Whether you’re a business leader, compliance professional, developer, or simply curious about AI ethics, this course gives you the knowledge and tools to engage with AI responsibly. By the end, you’ll not only understand Microsoft’s Responsible AI Standard — you’ll know how to apply its principles to evaluate, design, and manage AI systems in the real world.Enroll today and join the movement toward trustworthy AI.

Overview

Section 1: Introduction

Lecture 1 Welcome to the Course

Lecture 2 Why Responsible AI Matters

Lecture 3 The Origins of Microsoft’s Responsible AI

Lecture 4 Quick Overview of the Responsible AI Standard

Section 2: Microsoft’s Responsible AI Principles

Lecture 5 Responsible AI Principle #1 - Fairness

Lecture 6 Responsible AI Principle #2 - Reliability & Safety

Lecture 7 Responsible AI Principle #3 - Privacy & Security

Lecture 8 Responsible AI Principle #4 - Inclusiveness

Lecture 9 Responsible AI Principle #5 - Transparency

Lecture 10 Responsible AI Principle #6 - Accountability

Section 3: Implementation Guidelines

Lecture 11 Microsoft’s Responsible AI Standard v2

Lecture 12 DEMO: Microsoft's Responsible AI Standard v2

Lecture 13 Human Oversight & Accountability

Lecture 14 The AI Lifecycle in Practice

Lecture 15 Case Studies

Section 4: The Future of Responsible AI

Lecture 16 Future of Responsible AI

Lecture 17 Next steps for learning

Professionals working with AI or data who want to understand Microsoft’s Responsible AI approach.,Business leaders, project managers, and decision-makers seeking to apply ethical AI practices in their organizations.,Students and early-career professionals interested in AI, ethics, and responsible innovation.,Anyone curious about how Microsoft ensures AI systems are fair, transparent, and accountable.,Compliance, risk, or governance teams seeking a clear overview of AI ethics and Microsoft’s Responsible AI Standard v2