Horizon Trax

🎓 Section 7: Accountability and Governance in AI | Ethics in AI Course

🎓 Section 9: Future Challenges in AI Ethics | Ethics in Artificial Intelligence Course

🎓 Section 8: Case Studies Workshop – Ethics in Action | Ethics in AI Course

🎓 Section 6: Global & Inclusive Perspectives on AI Ethics | Ethics in AI Course

🎓 Section 5: Balancing Innovation with Responsibility | Ethics in AI Course

🎓 Section 4: Transparency & Explainability in AI | Ethics in AI Course

🎓 Section 3: Understanding and Preventing Bias in AI | Ethics in AI Course

🎓 Section 2: Defining Fairness in AI | Ethics in Artificial Intelligence Course

🎓 Section 1: Why Ethics Matters in AI | Ethics in Artificial Intelligence Course

🎓 Section 8: Case Studies & Future Horizons

🎓 Section 7: Building Institutional Structures for Responsibility

🎓 Section 6: Human-Centered AI Design

🎓 Section 5: Accountability in AI Systems

🎓 Section 4: AI Safety & Risk Management

🎓 Section 3: Governance in AI

🎓 Section 2: The Principles of Responsible AI

🎓 Section 1: Introduction to Responsible AI

🎓 Section 7: Everyday Real-World Applications of Algorithms & AI

🎓 Section 5: Types of AI Algorithms

🎓 Section 4: The AI Problem-Solving Loop

🎓 Section 3: A Short History of Algorithms & Problem-Solving in AI

🎓 Section 6: Global & Ethical Considerations in Machine Learning

🎓 Section 5: Comparing the Three Learning Paradigms

🎓 Section 4: Reinforcement Learning – Learning by Trial and Error

🎓 Section 3: Unsupervised Learning – Finding Hidden Patterns

🎓 Section 2: Supervised Learning – Learning with Labels

🎓 Section 1: What is Machine Learning? | Horizon Trax

🎓 Section 2: What is an Algorithm? | Horizon Trax

🎓 Section 10: The Road Ahead – From Fundamentals to the Future

🎓 Section 9: Case Study Workshop – Deconstructing a Familiar AI Tool