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AI-ETHICS.AU1
AI Ethics
AI is changing the world…and this AI ethics course helps you stay ahead the right way.
- Practice in 15 Hands-On Labs — nothing to install
- 12 Interactive Lessons and 97 topics mapped to the official exam objectives
Beginner Self-paced · 1 year access
15 Hands-On LiveLabs
Practice real IT tasks in guided environments.
- Real environments
- Auto-graded
- No installation
12Interactive Lessons
97Topics
15LiveLab
161Flashcards
161Glossary of terms
01 / Skills you'll get
What you will be able to do
Try Free →
No credit card required
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.
- 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.
Course Highlights
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12 Structured Lessons Comprehensive coverage of core course objectives
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15 Hands-On LiveLabs Interactive guided scenarios with instant evaluation
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1 Year Full Access Self-paced learning accessible anytime on all devices
02 / Lessons & labs
See exactly what you will learn and practice
Lessons
12 Interactive Lessons · 97 topics01 Preface 2 topics +
- Acknowledgements
- About This Course
02 Introduction: Why AI Ethics? 17 topics +
- 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
03 The Rise of AI Ethics 11 topics · 3 LiveLab +
- 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
3 LiveLab in this lesson — see the labs panel →
04 AI, Philosophy of Technology, and Ethics 8 topics · 1 LiveLab +
- 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
1 LiveLab in this lesson — see the labs panel →
05 Methods in Applied Ethics 6 topics · 1 LiveLab +
- 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
1 LiveLab in this lesson — see the labs panel →
06 Humans and Intelligent Machines: Underlying Values 6 topics · 2 LiveLab +
- Introduction
- The Nature and Value of Intelligence
- Values Underlying the Use of Data
- Human Nature
- Key Points
- Educator Notes
2 LiveLab in this lesson — see the labs panel →
07 Normative Ethical Theory and AI Ethics 6 topics · 3 LiveLab +
- Introduction to Normative Ethical Theories
- Normative Ethical Theories: Consequentialism
- Normative Ethical Theories: Deontological Approaches
- Normative Ethical Theories: Virtue Ethics
- Key Points
- Educator Notes
3 LiveLab in this lesson — see the labs panel →
08 Philosophy for AI Ethics: Metaethics, Metaphysics, and More 7 topics · 1 LiveLab +
- Introduction
- Metaethics
- The Theory of Knowledge
- Philosophy of Language
- Questions in Metaphysics: What Is Reality?
- Key Points
- Educator Notes
1 LiveLab in this lesson — see the labs panel →
09 Persons and AI 9 topics · 1 LiveLab +
- 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
1 LiveLab in this lesson — see the labs panel →
10 Individuals, Society, and AI: Online Communication 11 topics · 1 LiveLab +
- 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
1 LiveLab in this lesson — see the labs panel →
11 Towards the Future with AI: Work and Superintelligence 7 topics · 1 LiveLab +
- 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
1 LiveLab in this lesson — see the labs panel →
12 Our Future with AI: Future Projections and Moral Machines 7 topics · 1 LiveLab +
- 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 LiveLab in this lesson — see the labs panel →
Hands-On Labs Our edge
15 LiveLabs- Understanding AI Ethics and Its Implications
- Considering AI Ethics Development and Deployment
- Understanding the Evolution of AI Ethics — A Historical and Contemporary Perspective
- Understanding the Implicit Values of Technology and AI in Communication
- Understanding Ethical Assumptions in AI — Universalism, Moral Dilemmas, and Human Values
- Examining the Nature and Value of Intelligence in AI
- Understanding Human Nature and the Place of Humanity in the Universe
- 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
- Understanding Metaethics and AI Ethics — Examining the Moral Foundations of AI Decision-Making
- Examining AI and the Ethics of Personhood in Cybersecurity
- Examining AI and Online Harms — Ethical and Technical Challenges in Content Moderation
- Examining AI in the Workplace — Ethics, Automation, and Future Implications
- Examining AI and Ethics in the Workplace — Autonomy, Surveillance, and Moral Responsibility
Labs run in your browser — nothing to install.
03 / FAQs
Questions before you start
How do I become an AI ethicist?+
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.
What are AI ethics jobs?+
Roles in ethical AI include:
- AI Ethicist
- AI Ethical Officer
- Policy Advisor
- Legal Consultant
- Researcher
How much do AI ethicists make?+
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.
Keep going
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Become an AI Ethicist
Learn the significance, philosophy, and theories of AI Ethics to develop fully-functional policies to protect human & corporate interests.
- 1 year of full access
- 15 LiveLab included
- Certificate of completion
No credit card required