AI and the Law: Implementing Trustworthy AI
|
In this course we will go over the principles that make AI ethical, and how those principles vary in the United States of America and the European Union.
As more companies look to leverage the power of artificial intelligence, it is crucial to educate your staff on the laws surrounding AI ethics. In this course, AI and the Law: Implementing Trustworthy AI, you’ll gain a high view understanding of AI legislation and how you can apply it to your organization. First, you’ll explore the definition of trustworthy AI. Next, you’ll discover the variations of ethical AI in the European Union and the United States. Finally, you’ll learn how to get key stakeholders involved in applying these ethical principles to you products. When you’re finished with this course, you’ll have the knowledge of ethical AI laws and understand how they can apply to your organization.
Author Name: Anton Ekker
Author Description:
Anton is an experienced lawyer, based in the Netherlands. He specializes in the legal aspects of large-scale and complex data processing, with a focus on privacy law an AI law. Prior to his career as a lawyer, Anton obtained a PhD at the Institute for Information Law (IViR) of the University of Amsterdam in the field of privacy and fundamental rights.
Table of Contents
- Defining Trustworthy AI
2mins - Ethical Principles
7mins - Realising Trustworthy AI
5mins - Case Study: Health App Implementation at a Hospital
5mins
User Reviews
Be the first to review “AI and the Law: Implementing Trustworthy AI”
Related Products
Best Practices for Building AI in a Responsible Way
Join Harib Bakhshi, Lead Data Scientist for UK and Ireland at H2O.ai, and walk through some of the best practices around responsible AI.
Ethics in Technology: Building for Lasting Social Impact
Join us for a conversation with Lindsey Kneuven, Pluralsight's Chief Impact Officer, and Dr. Maliha Khan, Chief Programmes Officer at the Malala Fund, about the global education crisis, the impact of COVID-19 on girls’ education, and how we remain committed to equity outcomes as the gaps are widening.
AI Ethics: Understanding Bias and Fairness in Your Models
This talk will cover how to appropriately identify and measure model bias and fairness, how to understand potential sources of bias and finally how to mitigate bias.
Ensure the Ethical Use of LLMs in Data Projects
Navigate the complexities of ethically using LLMs in data projects. This course will teach you to identify biases, implement responsible practices, and engage stakeholders effectively.
Artificial Intelligence Essentials: Responsible AI
More and more organizations are implementing artificial intelligence (AI) within their processes. In this course, you'll learn the importance of responsible use of AI by taking ethics and bias into account.
AI vs. Pandemic – The Fine Line Between Saving Lives and Privacy Intrusion
We will explore the lines between saving lives and respecting individual's rights, assessing risks, finding legal grounds and taking the right measures to limit risks to rights while fighting the spread of COVID-19.
There are no reviews yet.