Responsible Generative AI Basics

A hands-on course covering ethical principles, privacy techniques, and best practices for responsible generative AI. Click any activity to launch the interactive web app.

LU1

Ethical Principles of Generative AI

Topic 1

Ethical Considerations & Potential Risks

Explore the ethical risks of generative AI through interactive dilemma scenarios covering hallucinations, bias, deepfakes, and more.

🎮 Ethical Dilemma Simulator
Topic 2

Ethical Principles in AI

Learn and test your knowledge of core AI ethical principles: fairness, transparency, accountability, privacy, beneficence, and human agency.

📝 Principles Matching Quiz
Topic 2

Prompt Injection Playground

Attack simulated AI systems with increasing defenses. Learn how prompt injection threatens transparency, accountability, and safety through hands-on challenges.

🎭 Prompt Injection
Topic 3

Apply Ethical Principles in Decision-Making

Walk through a structured ethical decision-making framework to analyse AI scenarios and generate documented decisions.

🧭 Decision Framework Tool
Topic 4

Professional Scepticism on AI Output

Evaluate AI-generated content with a structured checklist and receive a scepticism score with recommendations.

🔍 Scepticism Checker
Bonus

Cognitive Threat Matrix

AI risk scenario generator exploring generative AI threats through cognitive biases. Select a threat category and generate detailed risk analyses powered by Google Gemini.

🧠 Cognitive Threat Matrix
LU2

Generative AI Privacy Techniques

Topics 1 & 2

Data Anonymisation & Privacy Measures

Interactive demo of anonymisation techniques: masking, generalisation, pseudonymisation, k-anonymity, and differential privacy.

🔐 Anonymisation Demo
Topic 2

Python Anonymisation Pipeline

Build a step-by-step anonymisation pipeline using Python techniques: UUID pseudo-IDs, ASCII shifting, data masking, generalisation, and column dropping.

🐍 Python Pipeline
Topic 3

Ethical AI Data Use Guidelines

Create a comprehensive AI data handling policy with an interactive wizard covering classification, consent, encryption, and incident response.

📋 Policy Generator
LU3

Best Practices of Responsible Generative AI

Topics 1 & 2

Responsible AI Principles & System Comparison

Compare AI systems across IP compliance, data privacy, environmental impact, bias mitigation, and transparency with a visual radar chart.

📊 AI Comparison Matrix
Topic 1

Differential Privacy Explorer

Experiment with the Laplace mechanism, randomised response, and privacy budgets. Visualise the trade-off between privacy and data utility.

🔐 Differential Privacy
Topic 1

Explainable AI (XAI) Explorer

Understand LIME and SHAP through an interactive loan approval model. Adjust features, see predictions, and compare explanation methods side by side.

🧠 XAI Explorer
Topic 3

AI Resource Allocation Paradigms

Simulate how Utilitarian, Egalitarian, and Prioritarian paradigms lead to different AI allocation decisions across healthcare, education, and disaster scenarios.

⚖️ Resource Allocation
Topic 3

Compare Ethical Issues in AI Applications

Analyse real-world AI ethics case studies across healthcare, finance, creative industries, education, and employment.

📖 Case Study Analyzer