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Ethical and Regulatory Implications of Generative AI

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Ethical and Regulatory Implications of Generative AI

Instructor: Microsoft

2,300 already enrolled

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4 modules

Gain insight into a topic and learn the fundamentals.

21 reviews

Intermediate level

Recommended experience

3 hours to complete

Flexible schedule

Learn at your own pace

4 modules

Gain insight into a topic and learn the fundamentals.

21 reviews

Intermediate level

Recommended experience

3 hours to complete

Flexible schedule

Learn at your own pace

What you'll learn

Recognize the potential risks associated with Generative AI.
Understand the ethical and regulatory landscape with the use of Generative AI.
How to develop internal standards for organizational compliance, accompanied with best practices.

Skills you'll gain

Tools you'll learn

Generative AI

Details to know

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Assessments

4 assignments

Taught in English

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There are 4 modules in this course

Did you know that the global AI market size is projected to reach $997.77 billion by 2028? As AI technologies rapidly integrate into every sector, understanding their ethical and regulatory implications has never been more critical.

This Short Course was created to help professionals in tech, law, and policy accomplish a thorough comprehension of the ethical and regulatory landscape surrounding Generative AI. By completing this course, you'll be able to confidently navigate and implement strategies for AI compliance, ensuring your organization aligns with both ethical standards and regulatory requirements. More specifically, in this 3-hour-long course, you will learn how to recognize the potential risks associated with Generative AI, understand global regulations and their impacts, and develop robust compliance strategies. This project is unique because it addresses the pressing need for ethical oversight in AI applications, crucial for any professional involved in AI deployment. To be successful in this project, you will need a basic understanding of AI concepts and an interest in ethical implications and legal frameworks.

Module details

By the end of this course, you will be able to recognize the potential risks associated with Generative AI, understand the ethical and regulatory landscape, and begin to develop internal standards for organizational compliance, accompanied by best practices.

What's included

1 video1 reading

From this lesson, you will gain a deep understanding of the challenges and dangers that AI can pose—ranging from privacy concerns to decision-making biases. You will not only be aware of the real risks associated with AI but also be equipped with the knowledge and tools to make informed decisions about AI usage.

What's included

1 video2 readings1 assignment

By the end of this lesson, you will be able to differentiate between the EU and US approaches to AI regulation, particularly around the EU risk-based framework versus the US sector-based policy and the different enforcement policies. We will also look at individual companies including Microsoft who have their own internal guidelines, yet there is a perceived need for broader, industry-wide initiatives that establish common guidelines and principles.

What's included

2 videos3 readings1 assignment

2 videosTotal 20 minutes

The Evolving Landscape of AI Regulation11 minutes
The Evolving Landscape of AI Corporate Policy and Governance9 minutes

3 readingsTotal 7 minutes

Microsoft’s Customer Zero: Their Professional View2 minutes
Leading the Charge: Microsoft’s Vision for Digital Perseverance2 minutes
A Comparison of the Ethical Use of AI and Corporate Governance3 minutes

1 assignmentTotal 9 minutes

Ethical AI and Corporate Governance9 minutes

It all starts with people and accountabilities. In this lesson, we will identify key best practices for developing internal standards and guidelines for organizational compliance with generative AI regulations to establish a comprehensive generative AI governance framework.

What's included

2 videos3 readings2 assignments

2 videosTotal 18 minutes

Key Questions to Assess Your AI Adoption8 minutes
Hands-On Activity Part 1: Step 510 minutes

3 readingsTotal 63 minutes

An Interview with Melissa Leffler3 minutes
Hands-on Activity Part 1: The PESTEL Framework and AI Analysis30 minutes
Hands-On Activity Part 2: Drafting a Risk Assessment for AI Use Implementation30 minutes