Design & Present Responsible AI Solutions

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Design & Present Responsible AI Solutions

This course is part of multiple programs.

Instructors: Starweaver

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3 modules

Gain insight into a topic and learn the fundamentals.

Intermediate level

Recommended experience

4 hours to complete

Flexible schedule

Learn at your own pace

3 modules

Gain insight into a topic and learn the fundamentals.

Intermediate level

Recommended experience

4 hours to complete

Flexible schedule

Learn at your own pace

What you'll learn

Evaluate AI use cases by applying key Responsible AI principles such as fairness, transparency, and accountability.
Identify and document potential risks and biases across data, models, and user interactions using structured ethical design tools.
Develop and communicate stakeholder-ready presentations and documentation that clearly articulate Responsible AI design decisions.

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Assessments

1 assignment

Taught in English

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There are 3 modules in this course

In an era where artificial intelligence influences hiring, healthcare, finance, and everyday decision-making, the demand for Responsible AI design has never been greater. This course empowers professionals, researchers, and innovators to design, evaluate, and communicate AI solutions that are transparent, fair, and trustworthy. Through practical frameworks and guided demos, learners will explore how to apply core Responsible AI principles-fairness, transparency, accountability, privacy, and safety-across the AI lifecycle. You’ll practice identifying bias and ethical risks, documenting safeguards using structured templates, and transforming complex technical work into clear, stakeholder-ready presentations. Real-world examples and corporate case studies demonstrate how leading organizations operationalize Responsible AI.

This course is for AI, data, ethics, and tech professionals who want to design and present transparent, fair, and responsible AI solutions. Ideal for developers, policymakers, and business leaders, it helps you apply Responsible AI principles and communicate them clearly to diverse stakeholders. Learners should have a basic understanding of AI/ML concepts, familiarity with data ethics, and the ability to present ideas clearly to non-technical audiences. By the end of this course, you’ll confidently design ethically sound AI solutions and present them persuasively to both technical and non-technical audiences.

This module introduces learners to the foundational concepts of Responsible AI - exploring why ethical design, transparency, and accountability matter in modern AI systems. Learners will examine the core principles of Responsible AI, understand how bias and harm can emerge throughout the AI lifecycle, and discover how to embed ethical considerations into every stage of AI solution design. Through real-world case examples and structured reflection, this module establishes the mindset and vocabulary needed to design AI systems that are both innovative and trustworthy.

What's included

4 videos2 readings1 peer review

4 videosTotal 23 minutes

Welcome to Responsible AI Design4 minutes
Why Responsible AI Matters5 minutes
The Core Principles of Responsible AI7 minutes
From Principles to Practice: Designing with Ethics in Mind6 minutes

2 readingsTotal 10 minutes

Welcome to the Course: Course Overview5 minutes
Responsible AI: Why It Matters and How We’re Infusing It at Microsoft5 minutes

1 peer reviewTotal 20 minutes

Hands-On-Learning: Responsible AI Risk Reflection20 minutes

This module guides learners through the practical process of integrating Responsible AI principles into real-world system design. Learners will explore how to identify and mitigate ethical risks, detect and document bias, and evaluate model performance beyond accuracy metrics. They will learn to apply tools such as Responsible AI canvases, risk logs, and model cards to ensure transparency and accountability across the AI development lifecycle. By the end of the module, learners will be able to design AI systems that align with organizational values, regulatory standards, and human-centered goals.

What's included

3 videos1 reading1 peer review

3 videosTotal 22 minutes

Embedding Ethics into the AI Lifecycle7 minutes
Using Responsible AI Canvases and Checklists7 minutes
Reducing Bias and Communicating Uncertainty8 minutes

1 readingTotal 5 minutes

Building Trustworthy AI: How Google Designs for Transparency and Fairness (2024)5 minutes

1 peer reviewTotal 20 minutes

Hands-On-Learning: Responsible AI Design Challenge20 minutes

This module focuses on transforming Responsible AI design work into clear, stakeholder-ready communication. Learners will discover how to structure and deliver presentations that effectively convey technical rigor, ethical awareness, and societal impact. The module covers techniques for visual storytelling, ethical reporting, and audience-tailored messaging to build trust and understanding among diverse stakeholders-executives, regulators, and the public alike. By the end of the module, learners will be able to craft compelling presentations and documentation that demonstrate both AI innovation and accountability.

What's included

4 videos1 reading1 assignment2 peer reviews

4 videosTotal 25 minutes

Telling the Story of Your AI Solution8 minutes
Building a Responsible AI Pitch Deck6 minutes
Presenting AI Responsibility to Stakeholders8 minutes
Course Wrap-Up & Next Steps3 minutes

1 readingTotal 5 minutes

OECD AI Principles 2024 Update: Operationalizing Trustworthy AI5 minutes

1 assignmentTotal 20 minutes

Design & Present Responsible AI Solutions20 minutes

2 peer reviewsTotal 80 minutes

Hands-On-Learning: Responsible AI Presentation Challenge20 minutes
Project: Design & Present a Responsible AI Solution Pack60 minutes

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Instructors

Starweaver

Coursera

573 Courses1,165,650 learners

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