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.
913 enrolled on this course
Duration
3 weeksWeekly study
2 hours100% online
How it works
AI Ethics, Law, and Policy
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.
Syllabus
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
1956Location
TaiwanWorld ranking
Top 170Source: QS World University Rankings 2021
Ways to learn | Buy this course | Subscribe & save | Limited access |
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| Choose the best way to learn for you! | $109/one-off payment | $349.99 for one year Automatically renews | Free |
| Fulfill your current learning need | Develop skills to further your career | Sample the course materials | |
| Access to this course | tick | tick | Access expires 18 May 2024 |
| Access to 1,000+ courses | cross | tick | cross |
| Learn at your own pace | tick | tick | cross |
| Discuss your learning in comments | tick | tick | tick |
| Certificate when you're eligible | Printed and digital | Digital only | cross |
Cancel for free anytime |
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
Free
Sample the course materials
- Access expires 18 May 2024
Find out more about certificates, Unlimited or buying a course (Upgrades) | |||
Find out more about certificates, Unlimited or buying a course (Upgrades)
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