Ethical and Regulatory Implications of Generative AI
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Ethical and Regulatory Implications of Generative AI
Instructor: Microsoft
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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
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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.
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
1 video•Total 6 minutes
- Welcome to the Course•6 minutes
1 reading•Total 3 minutes
- Course Syllabus•3 minutes
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
1 video•Total 9 minutes
- AI Unmasked: Your Role in Navigating the Risks•9 minutes
2 readings•Total 6 minutes
- An Interview With Michael de la Maza•3 minutes
- Steering the AI Ship: A Case Study on Ethical Decision-Making in AI Implementation•3 minutes
1 assignment•Total 9 minutes
- Mitigating the Risks for Ethical Use of Gen AI•9 minutes
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 videos•Total 20 minutes
- The Evolving Landscape of AI Regulation•11 minutes
- The Evolving Landscape of AI Corporate Policy and Governance•9 minutes
3 readings•Total 7 minutes
- Microsoft’s Customer Zero: Their Professional View•2 minutes
- Leading the Charge: Microsoft’s Vision for Digital Perseverance•2 minutes
- A Comparison of the Ethical Use of AI and Corporate Governance•3 minutes
1 assignment•Total 9 minutes
- Ethical AI and Corporate Governance•9 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 videos•Total 18 minutes
- Key Questions to Assess Your AI Adoption•8 minutes
- Hands-On Activity Part 1: Step 5•10 minutes
3 readings•Total 63 minutes
- An Interview with Melissa Leffler•3 minutes
- Hands-on Activity Part 1: The PESTEL Framework and AI Analysis•30 minutes
- Hands-On Activity Part 2: Drafting a Risk Assessment for AI Use Implementation•30 minutes
2 assignments•Total 36 minutes
- Graded Assessment•30 minutes
- AI Regulatory Compliance and Mitigating the Risks•6 minutes
Instructor
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