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Course Introduction

In this article, we'll study the nuances of AI in comparison to human thought processes and venture into legal frameworks across countries.

Welcome to ”AI Ethics, Law, and Policy”!

Greetings to all of you! I am Ching-Fu Lin, a Professor at the Institute of Law for Science and Technology of National Tsing Hua University in Taiwan. It brings me immense joy to embark on this enlightening journey with each one of you as we delve deep into the dynamic realm of AI, exploring its multifaceted impacts, and challenges on our society.

Course Overview:

Here’s a brief breakdown of what we’ll be covering in this course:

Week 1: Introduction to AI & Policy Landscape

We’ll journey through the evolutionary phases of AI, understanding its highs and lows. Dissect the distinctions between the broader domain of AI and its subsets like Machine Learning and Deep Learning. Engage in comparative analyses of terms like strong AI and weak AI.

Week 2: Automated Vehicles and Regulatory Design

Building on our understanding of AI, we’ll dive into the domain of self-driving cars, one of AI’s most advanced applications. In this week, we’ll grapple with the regulatory and ethical quandaries posed by these vehicles.

Week 3: Algorithmic Bias and the Criminal Justice System

Examining the AI tools employed by governments in the realm of criminal justice. We’ll critically address AI-related challenges such as bias, lack of transparency, and the implications on due process.

A Sneak Peek into Week 1:


As we move forward, I truly hope the discussions stimulate your curiosity and provide insights into the intricate tapestry of AI, law, and ethics. I’m eager to see the perspectives each one of you brings to the table. Let’s make this course not just a learning experience, but a collaborative dialogue. Enjoy the course!

© Ching-Fu Lin and NTHU, proofread by ChatGPT
This article is from the free online

AI Ethics, Law, and Policy

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