Ethical and Regulatory Implications of Generative AI

Overview

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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.

Syllabus

Ethical and Regulatory Implications of Generative AI

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.

Lesson 1: AI has Real Risks. You Have Agency!

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.

Lesson 2: Navigating the Global Regulatory Landscape of Generative AI

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.

Lesson 3: Getting Started with Developing your Internal Guidelines

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.