CTU-AI322.AU1
AI of Ethics
- Practice in 30 Hands-On Labs — nothing to install
- 5 Interactive Lessons and 69 topics mapped to the official exam objectives
Beginner Self-paced ยท 1 year access
30 Hands-On LiveLabs
Practice real IT tasks in guided environments.
- Real environments
- Auto-graded
- No installation
5Interactive Lessons
69Topics
30LiveLab
161Flashcards
161Glossary of terms
01 / Lessons & labs
See exactly what you will learn and practice
Lessons
5 Interactive Lessons · 69 topics01 Foundations of AI Governance Frameworks 24 topics · 6 LiveLab +
- 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
- 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
6 LiveLab in this lesson — see the labs panel →
02 Designing Governance Strategies for Ethical AI 11 topics · 6 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
- The Nature and Value of Intelligence
- Values Underlying the Use of Data
- Human Nature
- Introduction to Normative Ethical Theories
- Normative Ethical Theories: Consequentialism
- Normative Ethical Theories: Deontological Approaches
- Normative Ethical Theories: Virtue Ethics
6 LiveLab in this lesson — see the labs panel →
03 Ethical Implications of AI Technologies 16 topics · 6 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
- Metaethics
- The Theory of Knowledge
- Philosophy of Language
- Questions in Metaphysics: What Is Reality?
- 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
6 LiveLab in this lesson — see the labs panel →
04 Societal and Policy Impact of AI 13 topics · 6 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
- AI in the Workplace
- AI, Employment and Unemployment, and Future Visions
- Superintelligence, Existential Risk, and the Control Problem
- Longtermism in AI
6 LiveLab in this lesson — see the labs panel →
05 Operationalizing Ethical AI Governance 5 topics · 6 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?
6 LiveLab in this lesson — see the labs panel →
Hands-On Labs Our edge
30 LiveLabs- Understanding Artificial Intelligence: Concepts, Types, and Ethical Implications Using GenAI
- Exploring the Role and Relevance of AI Ethics in Real-World Decision Making
- Understanding the Role of Interdisciplinary Knowledge and Safety in 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
- 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
- Comparing Artificial Intelligence and Human Capabilities: Agency, Limits, and Ethical Implications
- Exploring Human Attitudes and Ethical Implications: Technology, Nature, and AI
- Understanding the Implicit Values of Technology and AI in Communication
- Understanding Explainability and Trust in AI
- Understanding Metaethics and AI Ethics — Examining the Moral Foundations of AI Decision-Making
- Examining AI and the Ethics of Personhood in Cybersecurity
- Exploring Ethical Responsibility and Human Agency in AI-Driven Digital Interaction
- Examining AI and Online Harms — Ethical and Technical Challenges in Content Moderation
- Examining AI, Ethical Decision-Making, and Algorithmic Responsibility
- Exploring AI Alignment and the Control Problem in Superintelligent Systems
- Examining AI in the Workplace — Ethics, Automation, and Future Implications
- Exploring Longtermism, Future Generations, and AI Ethics
- Mapping the Instructor Experience Lifecycle
- Designing Monitoring and Intervention Systems for Instructor Well-Being
- Identifying Governance Risks and Control Points in Academic Systems
- Examining AI and Ethics in the Workplace — Autonomy, Surveillance, and Moral Responsibility
- Designing Organizational Structure for Academic Oversight
- Designing Metrics for Measuring Instructor Satisfaction
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