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Ethical and Regulatory Implications of Generative AI

Microsoft

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.

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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.

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What's inside

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.
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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.

Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Teaches key concepts and terminology of generative AI
Course created by Microsoft, with a focus on ethical and legal implications
Examines the challenges and dangers of AI, including privacy and decision-making
Designed for tech, law, and policy professionals

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Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Ethical and Regulatory Implications of Generative AI with these activities:
Review 'AI Ethics' by Mark Coeckelbergh
Enhance your understanding of the ethical implications of Generative AI by reviewing a foundational text in the field.
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  • Read the book's introduction and first chapter
  • Summarize the key arguments in each chapter
  • Identify the ethical challenges posed by Generative AI
  • Write a short essay on the ethical implications of Generative AI
Learn about EU and US regulatory approaches
Improve your understanding of the different regulatory approaches to Generative AI in the EU and US.
Show steps
  • Read the European Commission's proposal for an AI regulation
  • Watch a webinar on the EU's AI regulatory framework
  • Read the US National Institute of Standards and Technology's (NIST) report on AI regulation
  • Attend a workshop on AI regulation
Join a study group on Generative AI
Engage with peers, exchange knowledge, and enhance your critical thinking skills by joining a study group focused on Generative AI.
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  • Find a study group or create your own
  • Meet regularly to discuss course materials
  • Collaborate on assignments and projects
  • Provide feedback and support to fellow group members
Four other activities
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Practice applying Generative AI principles
Solidify your understanding of Generative AI principles and best practices through hands-on application.
Show steps
  • Identify a real-world problem that can be solved using Generative AI
  • Develop a solution using Generative AI principles
  • Test your solution on a dataset
  • Evaluate the ethical implications of your solution
Create an infographic on Generative AI
Enhance your understanding and retention of Generative AI by creating a visual representation of its key concepts and implications.
Browse courses on Generative AI
Show steps
  • Gather information from reputable sources
  • Brainstorm ideas for the infographic's design
  • Create the infographic using a design tool
  • Share the infographic on social media or other platforms
Contribute to an open-source Generative AI project
Gain practical experience with Generative AI and contribute to the community by working on an open-source project.
Browse courses on Generative AI
Show steps
  • Identify an open-source Generative AI project to contribute to
  • Review the project's documentation and codebase
  • Identify an area where you can make a contribution
  • Submit a pull request with your contribution
Volunteer at an organization using Generative AI
Gain real-world experience with Generative AI applications and contribute to a meaningful cause by volunteering at a relevant organization.
Show steps
  • Research organizations that use Generative AI
  • Identify a volunteer opportunity that aligns with your interests
  • Apply for the volunteer position
  • Complete volunteer training and orientation

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