Design & Present Responsible AI Solutions

本课程是多个项目的一部分。

位教师：Starweaver

访问权限由 New York State Department of Labor 提供

3个模块

深入了解一个主题并学习基础知识。

中级等级

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4 小时完成

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自行安排学习进度

3个模块

深入了解一个主题并学习基础知识。

中级等级

推荐体验

4 小时完成

灵活的计划

自行安排学习进度

您将学到什么

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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要了解的详细信息

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作业

1 项作业

授课语言：英语（English）

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该课程共有3个模块

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.

涵盖的内容

4个视频2篇阅读材料1次同伴评审

4个视频总计23分钟

Welcome to Responsible AI Design 4分钟
Why Responsible AI Matters 5分钟
The Core Principles of Responsible AI 7分钟
From Principles to Practice: Designing with Ethics in Mind 6分钟

2篇阅读材料总计10分钟

Welcome to the Course: Course Overview 5分钟
Responsible AI: Why It Matters and How We’re Infusing It at Microsoft 5分钟

1次同伴评审总计20分钟

Hands-On-Learning: Responsible AI Risk Reflection 20分钟

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.

涵盖的内容

3个视频1篇阅读材料1次同伴评审

3个视频总计22分钟

Embedding Ethics into the AI Lifecycle 7分钟
Using Responsible AI Canvases and Checklists 7分钟
Reducing Bias and Communicating Uncertainty 8分钟

1篇阅读材料总计5分钟

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

1次同伴评审总计20分钟

Hands-On-Learning: Responsible AI Design Challenge 20分钟

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.