Ethics of AI (5 credits)

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Artificial intelligence has rapidly progressed in the past decade. This progress has caused AI to become an inseparable part of everybody's lives. Therefore, we must be aware of AI models' limitations as they begin to make important decisions for us. This course will first review the philosophy of ethics and why ethical decision-making is hard. Then, it will explore the ethical aspects of AI and discuss each of these aspects as an ethical problem in each chapter. Finally, at the end of each chapter, it suggests some ideas that can address these problems. By the end of this course, the student will learn about AI ethics and become familiar with the concepts of disinformation, privacy, bias and fairness, accountability, and the impact of AI on these concepts.

Learning outcomes

  • Get familiar with the hardness of ethical decision-making
  • Get familiar with the general framework of AI ethics
  • Understand why AI can be a double-edged sword when it comes to disinformation generation
  • Learn about the impact of AI on detecting and generating disinformation
  • Get familiar with deepfake, how it works, and its consequences
  • Get familiar with the concepts of privacy and surveillance as well as people's rights privacy
  • Get familiar Impact of AI on surveillance and the way we can stand against its threads
  • Learn about the concept of fairness and different types of bias in AI
  • Understand the differences between equality and equity
  • Get familiar with the concept of accountability in AI
  • Learn about the responsible AI framework and its key features
  • Learn about how AI ethics can be used in practice
  • Learn about transparency in AI

Table of contents

Chapter 1: Beginning with This Course

  • 1.1. Our Approach in This Course
  • 1.2. About TechClass AI Department
  • 1.3. Your Expectations, Goals, and Knowledge

Chapter 2: Introduction

  • 2.1. What is AI?
  • 2.2. What is Ethics?
  • 2.3. The Trolley Problem
  • 2.4. What is AI Ethics?
  • 2.5. AI Ethics Framework
  • 2.6. Chapter 2 Quiz

Chapter 3: Disinformation

  • 3.1. AI and Disinformation
  • 3.2. Deepfakes
  • 3.3. How to Deal with AI-enabled Disinformation?
  • 3.4. Chapter 3 Quiz

Chapter 4: Privacy and Surveillance

  • 4.1. Human Right to Privacy
  • 4.2. AI and Threats to Privacy
  • 4.3. Impact of AI on the Surveillance World
  • 4.4. How to Overcome the Threats
  • 4.5. Chapter 4 Quiz

Chapter 5: Bias and Fairness

  • 5.1. Definitions of Bias
  • 5.2. Different Types of Bias in AI
  • 5.3. Fairness
  • 5.4. Fairness in AI and Machine Learning
  • 5.5. Chapter 5 Quiz

Chapter 6: Accountability

  • 6.1. What is Accountability?
  • 6.2. Algorithms and Accountability
  • 6.3. Responsible AI
  • 6.4. Chapter 6 Quiz

Chapter 7: Ethics of AI in Practice

  • 7.1. Ethics as Doing
  • 7.2. Next Steps

Chapter 8: Final Tasks

  • 8.1. Project
  • 8.2. Self-study Essay
  • 8.3. Congrats! You did it!


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