How to Discuss AI Ethics in the Classroom: An AP CSP Lesson Plan

📚 Introduction to AI Ethics in the Classroom

This lesson plan provides a framework for discussing AI ethics within an AP Computer Science Principles (CSP) course. It aims to foster critical thinking about the societal impact of artificial intelligence and equip students with the tools to analyze ethical dilemmas.

🎯 Objectives

• 🤔 Understand fundamental concepts of AI ethics.
• 🧑‍🏫 Identify ethical dilemmas arising from AI applications.
• 🤝 Develop reasoned arguments on AI-related ethical issues.
• ✍️ Apply ethical frameworks to analyze AI case studies.

🛠️ Materials

• 💻 Computers with internet access.
• 📰 Articles and case studies on AI ethics (examples provided below).
• 📝 Handouts with ethical frameworks (e.g., utilitarianism, deontology).
• ✏️ Whiteboard or projector.

🔥 Warm-up (5 minutes)

• 🗣️ Begin with a brief discussion: "What is ethics?" and "Why is it important to consider ethics in the context of technology?"
• 💡 Prompt students to share initial thoughts and examples.

👨‍🏫 Main Instruction (35 minutes)

Part 1: Defining AI Ethics (10 minutes)

• 📖 Introduce the definition of AI ethics: A branch of ethics that examines the moral and social implications of artificial intelligence.
• 🤖 Discuss key areas of concern, such as bias, fairness, accountability, and transparency.
• 🧭 Example: "AI algorithms can perpetuate existing societal biases if trained on biased data."

Part 2: Ethical Frameworks (15 minutes)

• 🏛️ Explain two or three different ethical frameworks (e.g., utilitarianism, deontology, virtue ethics).
• 🧪 Utilitarianism: Focuses on maximizing overall happiness or well-being. Mathematically, this can be represented as: $Maximize \sum_{i=1}^{n} Utility(Outcome_i)$.
• 📜 Deontology: Emphasizes moral duties and rules. An example duty is: Always act in a way that you would want everyone else to act.
• 💡 Discuss the strengths and weaknesses of each framework.

Part 3: Case Study Analysis (10 minutes)

• 📰 Present a real-world case study involving an ethical dilemma in AI. Examples:
• 🚗 Self-driving cars and the trolley problem.
• 🕵️ Facial recognition technology and privacy concerns.
• 🩺 AI in healthcare and algorithmic bias.
• 🗣️ Divide students into small groups and assign each group to analyze the case study using one of the ethical frameworks discussed.

✅ Assessment (5 minutes)

• ❓ Ask each group to present their analysis of the case study, highlighting the ethical considerations and potential solutions.
• 📝 Facilitate a class discussion on the different perspectives and approaches.

📄 Extension Activities

• ✍️ Have students research and present on emerging AI ethics issues (e.g., AI in warfare, AI and the future of work).
• 💻 Encourage students to develop their own ethical guidelines for AI development and deployment.