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AI Ethics

AI is changing the world…and this AI ethics course helps you stay ahead the right way.

(AI-ETHICS.AU1) / ISBN : 978-1-64459-623-4
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About This Course

This AI ethics course online gives you the knowledge to navigate risks and challenges responsibly.

Explore key ethical debates, from bias in algorithms to the future of superintelligence. Dive into philosophy, law, and real-world case studies to understand how AI impacts humanity. Learn top-down and bottom-up approaches to ethical decision-making…because AI shouldn’t just be smart, it should be fair.

With hands-on labs on topics like personhood, online harms, and moral machines, this course prepares you to shape AI’s future.

Skills You’ll Get

  • Ethical Decision-Making in AI: Apply moral frameworks like consequentialism, deontology, and virtue ethics to real-world AI dilemmas.
  • Critical Analysis of AI Bias & Risks: Identify ethical concerns in AI systems, from data discrimination to autonomous decision-making.
  • Philosophical Foundations of Technology: Understand how AI intersects with philosophy, human values, and societal impact.
  • Policy & Regulation Awareness: Navigate AI ethics guidelines, laws, and governance structures shaping responsible AI development.
  • Case-Based Problem Solving: Tackle hands-on challenges like content moderation, workplace automation, and superintelligence through practical labs.
Download Course Outline

1

Preface

  • Acknowledgements
  • About This Course
2

Introduction: Why AI Ethics?

  • Introduction
  • What Is Artificial Intelligence?
  • And What, Precisely, Is Ethics?
  • What Does This Course Cover?
  • Why AI Ethics Is So Exciting
  • Why Should Anyone Want to Study AI Ethics?
  • Bottom-Up and Top-Down Approaches to AI Ethics
  • And What Are You Bringing to This Course?
  • Frequent Criticisms of Ethics
  • The Boundaries and Limits of Ethics
  • The Approach of This Course
  • Developing Ethical Autonomy
  • Why Examine Underlying Concepts in AI Ethics?
  • Why Am I Writing This Course?
  • What Is to Come
  • Key Points
  • Educator Notes
3

The Rise of AI Ethics

  • AI Ethics: Why Now?
  • Same or Different? What's Special About AI Ethics?
  • Common Themes and Varieties of Questions in AI Ethics
  • Ethical Questions in AI Currently Receiving Attention
  • A Brief History of AI Ethics
  • AI Ethics Now: Who, What, Where, and Why?
  • AI Ethics, Law, Policy, Regulation, and Ethics Guidance
  • Looking Forward: What Is Our Job Now?
  • Case Study: An Indigenous AI Report
  • Key Points
  • Educator Notes
4

AI, Philosophy of Technology, and Ethics

  • Artificial Intelligence, Ethics, and AI as a Technology
  • Comparing AI to Humans
  • A Brief Introduction to the Philosophy of Technology
  • Technology and Attitudes Towards Nature
  • The Implicit Values of Technology
  • Communication Through New Technologies
  • Key Points
  • Educator Notes
5

Methods in Applied Ethics

  • Introduction: A Simple Account of Methods in Applied Ethics
  • The Challenges from AI for Methodology in Applied Ethics
  • Common Assumptions About the Nature of Ethics, and Their Influence on Methodology in Applied Ethics
  • Methodology in Applied Ethics: The Stories We Tell
  • Key Points
  • Educator Notes
6

Humans and Intelligent Machines: Underlying Values

  • Introduction
  • The Nature and Value of Intelligence
  • Values Underlying the Use of Data
  • Human Nature
  • Key Points
  • Educator Notes
7

Normative Ethical Theory and AI Ethics

  • Introduction to Normative Ethical Theories
  • Normative Ethical Theories: Consequentialism
  • Normative Ethical Theories: Deontological Approaches
  • Normative Ethical Theories: Virtue Ethics
  • Key Points
  • Educator Notes
8

Philosophy for AI Ethics: Metaethics, Metaphysics, and More

  • Introduction
  • Metaethics
  • The Theory of Knowledge
  • Philosophy of Language
  • Questions in Metaphysics: What Is Reality?
  • Key Points
  • Educator Notes
9

Persons and AI

  • Introduction
  • An Account of Personhood: Respect for Persons as a Fundamental Ideal
  • Some Contemporary Models of Personhood and Their Ethical Implications
  • Interlude: Mind and Body
  • Are Conceptions of Personhood Too Focused on the Cognitive and the Rational?
  • Personhood Continued: Two Approaches to Personhood, Agency, and Machines
  • The Limits and Boundaries of Persons
  • Key Points
  • Educator Notes
10

Individuals, Society, and AI: Online Communication

  • Introduction
  • What Concepts and Tools Can We Bring to These Questions?
  • Why Is AI Being Used to Address the Online Harms Question?
  • Content Moderation for Online Harms: What Is Needed?
  • Challenges for AI in Tackling Online Harms
  • Bias and the Production of ‘AI Ethics’
  • AI, Online Content, Persons, Self, and Society
  • The Use of AI: Reshaping Ethical Questions?
  • And Just to Finish
  • Key Points
  • Educator Notes
11

Towards the Future with AI: Work and Superintelligence

  • Introduction
  • AI in the Workplace
  • AI, Employment and Unemployment, and Future Visions
  • Superintelligence, Existential Risk, and the Control Problem
  • Longtermism in AI
  • Key Points
  • Educator Notes
12

Our Future with AI: Future Projections and Moral Machines

  • Introduction
  • The Purposeful Universe: Value Beyond the Human
  • Contrasting Frameworks Behind Visions of AI and Approaches to Ethics
  • The Moral Status of AI and Robot Rights
  • Machines as Moral Agents: Could Artificial Intelligence Enhance Human Morality?
  • Key Points
  • Educator Notes

1

The Rise of AI Ethics

  • Understanding AI Ethics and Its Implications
  • Considering AI Ethics Development and Deployment
  • Understanding the Evolution of AI Ethics — A Historical and Contemporary Perspective
2

AI, Philosophy of Technology, and Ethics

  • Understanding the Implicit Values of Technology and AI in Communication
3

Methods in Applied Ethics

  • Understanding Ethical Assumptions in AI — Universalism, Moral Dilemmas, and Human Values
4

Humans and Intelligent Machines: Underlying Values

  • Examining the Nature and Value of Intelligence in AI
  • Understanding Human Nature and the Place of Humanity in the Universe
5

Normative Ethical Theory and AI Ethics

  • Examining Normative Ethical Theories — Consequentialism in AI Ethics
  • Interpreting Deontological Approaches in AI Ethics and Rule Application
  • Exploring AI and Virtue Ethics — Developing Moral Character in Machines
6

Philosophy for AI Ethics: Metaethics, Metaphysics, and More

  • Understanding Metaethics and AI Ethics — Examining the Moral Foundations of AI Decision-Making
7

Persons and AI

  • Examining AI and the Ethics of Personhood in Cybersecurity
8

Individuals, Society, and AI: Online Communication

  • Examining AI and Online Harms — Ethical and Technical Challenges in Content Moderation
9

Towards the Future with AI: Work and Superintelligence

  • Examining AI in the Workplace — Ethics, Automation, and Future Implications
10

Our Future with AI: Future Projections and Moral Machines

  • Examining AI and Ethics in the Workplace — Autonomy, Surveillance, and Moral Responsibility

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To build a career in artificial intelligence ethics, follow these steps:

  • Take Courses: Enroll in our AI Ethics course to learn AI basics (e.g., machine learning, algorithms) and ethical frameworks (e.g., fairness, bias mitigation).
  • Education: Pursue a bachelor’s degree in computer science, philosophy, ethics, or law. Advanced degrees (Master’s/PhD) in AI ethics or related fields are highly valued.
  • Practical Experience: Intern at AI firms, contribute to ethics research or audit AI systems for biases.
  • Certifications: Obtain credentials like Certified AI Ethicist (CAIE) to stand out.
  • Networking: Join AI ethics forums, attend conferences, and engage with policymakers.

Roles in ethical AI include:

  • AI Ethicist
  • AI Ethical Officer
  • Policy Advisor
  • Legal Consultant
  • Researcher

According to the US Bureau of Labor Statistics (2024), AI professionals earn between $80,000 and $135,000/year, with job growth projected at 23% over the next decade. 

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