onlincourse

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 with this online course from NTHU.

Duration

3 weeks

Weekly study

2 hours

100% online

How it works

Unlimited subscription

Learn more

Established

1956

Location

Taiwan

World ranking

Source: QS World University Rankings 2021

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.

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.