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KU Leuven University

AI Regulation and Law

KU Leuven University via edX

Overview

MIT Sloan: Drive Business Value with AI
6-week cohort with live MIT Faculty sessions. Learn to scale AI beyond the pilot stage.
Build Your AI Strategy

Artificial Intelligence (AI) is shaping everyday life, from healthcare and education to business and industry. AI systems help specialists to diagnose diseases, to personalize learning, automate administrative tasks, and optimize industrial processes. The benefits are clear: greater efficiency, improved decisions, hyperpersonalized communication...

But AI systems also bring risks: biased training data can lead to discrimination. Automated systems often lack transparency. Security flaws can be exploited. And who is responsible when an AI system provides a wrong decision?

As AI becomes more and more embedded in our societies, clear rules are essential to prevent harm, protect human rights and ensure that innovation is responsible and inclusive.

In this short course of just 4 modules, we explore questions such as:

  • What are the risks and benefits of AI?
  • Why do we need AI regulation?
  • How should we regulate AI?
  • Which rules already apply?

Assess legal, ethical, and societal impacts of AI, including responsibility and fundamental rights.

This MOOC is a collaboration between KU Leuven and VAIA. Feel free to explore VAIA's website at www.vaia.be to find more information on trainings, workshops, and tools about AI.

Are you looking for more?

This short course focuses on the legal and ethical implications of AI, while still providing you with enough insights into AI to have fundamental understanding. If you want to learn about AI and all its impact in human and social sciences, check out the long version of this course: AI to better understand and connect people.

Syllabus

By the end of this course, you will be able to:

  • Describe key regulatory frameworks, including the AI Act.
  • Understand the basics of AI, Machine Learning, and Deep Learning.
  • Recognize how data is used in AI-driven systems and applications.

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