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AI Ethics, Law, and Policy

Prepare for the rapidly evolving field of AI as you learn to identify and navigate AI’s legal, ethical, and policy implications.

1,046 enrolled on this course

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AI Ethics, Law, and Policy

1,046 enrolled on this course

  • 3 weeks

  • 2 hours per week

  • Digital certificate when eligible

  • Introductory level

Find out more about how to join this course

Gain a comprehensive understanding of AI law

We are entering a new world increasingly powered by Artificial Intelligence (AI). It’s no longer confined to academic research; AI is now shaping how individuals, businesses, and governments interact.

On this three-week course, you’ll explore the legal, ethical, and policy implications of the AI revolution. This includes AI, robots, algorithms, and human-machine interfaces.

You’ll start by exploring the differences between AI and humans while also dissecting the existing legal framework and policy initiatives.

Delve into the use cases of automated vehicles

Next, you’ll unpack the uses of automated vehicles and driving systems.

You’ll explore the incidents and related issues of automated driving systems as well as their associated ethical dilemmas.

Through this exploration, you’ll discover the recent policy and regulatory initiatives implemented for automated vehicles.

Understand algorithmic bias and the criminal justice system

On week three of the course, you’ll delve into algorithmic bias and its impact, particularly within the criminal justice system.

You’ll understand how computer errors can lead to unfair outcomes and explore case studies that highlight the role of algorithms in decision-making.

Learn from the experts at National Tsing Hua University

Throughout the course, you’ll be guided by the specialists at National Tsing Hua University.

With their insights, you’ll gain a clear understanding of the promises and challenges of AI facing users, lawyers, engineers, and policymakers across the globe.

You’ll finish equipped with fundamental legal, ethical, and policy tools to dive deeper into AI issues.

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  • Week 1

    Introduction to AI: Technology and Policy Landscape

    • Introduction

      Welcome to AI Ethics, Law, and Policy. In the initial section, we will present an overview of the course and provide a concise introduction to artificial intelligence."

    • AI and Human

      In this section, we are going to discuss the difference between AI and Human

    • Existing Legal Framework and Policy Initiatives

      This Section introduces the existing legal frameworks and policy initiatives around the world, giving an overview of the status quo and trends of policymaking.

    • General Data Protection Regulation (GDPR) and AI

      In this section, we will delve into the General Data Protection Regulation (GDPR), exploring both its significant impact on AI and the areas where GDPR may fall short in addressing AI-related concerns

    • European Union - Artificial Intelligence Act (draft of 2021 & 2023)

      In this section, we'll introduce the Artificial Intelligence Act of 2021. To ensure our discussion remains current and relevant, we will also highlight the amendments made to the draft in 2023.

  • Week 2

    Automated Vehicles and Regulatory Design

    • The Use Cases of Automated Driving Systems

      This section explores the intricate technologies behind automated vehicles and delves into the SAE J3016 Levels of Driving Automation.

    • Incidents and Related Issues of ADSs

      In this section, we discuss significant autonomous vehicle incidents, analyze data on crashes, and delve into the challenges and changes in infrastructure, communication, liability, and insurance for automated vehicles.

    • Ethical Dimension of ADSs

      In this section, we will explore the ethical challenges of autonomous vehicles, examine the Trolley Problem, analyze the Moral Machine Experiment's implications, and debate ethics versus manufacturer liabilities.

    • Recent Policy and Regulatory Initiatives

      In this section, we will navigate global autonomous vehicle regulations, focusing on Germany, the EU, the UK, the US, Japan, Singapore, and China, highlighting advancements and challenges.

    • Takeaways

      In this section, we will recap the key topics covered this week.

  • Week 3

    Algorithmic Bias and the Criminal Justice System

    • What is Algorithmic Bias

      In this section, you will learn about the reasons why there is algorithmic bias from a technical perspective, get to know the implications of such algorithmic bias, and examine some real-world examples.

    • The Criminal Justice System and Algorithms

      This section will give you an overview of the judicial system and learn how algorithms can help decision-making.

    • Case Study

      In this section, we will discuss two representative cases regarding the use of algorithms in judicial decision-making. (State v. Loomis & PP. v. Denis P. Modili)

    • Black Box and Transparency

      We aim to demystify why these algorithms are often considered 'black boxes' in the legal setting, the notion of 'transparency,' and explore the interplay between different types of black box phenomena and transparency.

    • Recent Legal and Policy Responses

      This section delves into the diverse policies and practices surrounding the application of AI and algorithms in judicial systems across various countries.

    • Judicial Resilience

      This section explores how various factors influence the adoption of these tools, with a central focus on judicial resilience — the capacity of legal systems to integrate technology while upholding justice principles.

When would you like to start?

Start straight away and join a global classroom of learners. If the course hasn’t started yet you’ll see the future date listed below.

  • Available now

Learning on this course

On every step of the course you can meet other learners, share your ideas and join in with active discussions in the comments.

What will you achieve?

By the end of the course, you‘ll be able to...

  • Explore the recent development of AI and its challenges
  • Identify legal and ethical issues related to AI systems in different scenarios, including automated vehicles and criminal justice
  • Reflect upon the regulatory landscape of AI worldwide
  • Compare the AI policy initiatives among countries

Who is the course for?

This course is designed for law, engineering, and social science students as well as anyone interested in AI’s legal, ethical, and policy ramifications.

You will gain a deep understanding of the promises and challenges AI presents across the globe.

Who will you learn with?

Ching-Fu Lin is Professor of Law at National Tsing Hua University, where he teaches international law and global governance, law and technology, and AI Ethics, Laws, and Society.

MS student, Institute of Law for Science and Technology
- National Tsing Hua University

Who developed the course?

National Tsing Hua University (NTHU)

National Tsing Hua University in Taiwan consistently ranks as one of the premier universities in East Asia.

  • Established

  • Location

  • World ranking

    Top 170Source: QS World University Rankings 2021

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Ways to learn

Choose the best way to learn for you!

Subscribe & save

$349.99 for one year

Automatically renews

Develop skills to further your career

  • Access to this course
  • Access to 1,000+ courses
  • Learn at your own pace
  • Discuss your learning in comments
  • Digital certificate when you're eligible

Cancel for free anytime

Buy this course

$109/one-off payment

Fulfill your current learning need

  • Access to this course
  • Learn at your own pace
  • Discuss your learning in comments
  • Printed and digital certificate when you’re eligible

Limited access


Sample the course materials

  • Access expires 8 Jul 2024

Find out more about certificates, Unlimited or buying a course (Upgrades)

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  • Complete 90% of course steps and all of the assessments to earn your certificate

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