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AI and Critical Thinking
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This course provides a comprehensive overview of artificial intelligence (AI), focusing on its fundamentals, applications, and ethical considerations. Students will learn to describe different types of AI and their common applications in everyday life. Key ethical issues such as fairness, accountability, transparency, and bias will be explored through real-world examples. The course emphasizes critical thinking skills, enabling students to evaluate AI claims and differentiate between hype and reality. Students will gain an understanding of how machine learning works, including commonly used algorithms and current AI technologies across various sectors.
The course also addresses the ethical implications of AI, covering data privacy, security, and the impact on personal freedoms. Students will analyze AI applications in key areas such as healthcare, finance, and law, evaluating both successful and problematic case studies to develop practical AI solutions. By the end of the course, students should be able to critically assess the effectiveness and challenges of various AI implementations, understand ethical considerations and biases, and propose strategies for responsible and ethical AI deployment.
Session One: Course Overview
Course Overview
Learning Objectives
Pre-Assignment
Pre-Course Assessment
Session Two: Introduction to AI
Artificial Intelligence
Ethics and Social Implications of AI
Case Study: Real-World Example of AI Bias
Session Three: Critical Thinking with AI
Critical Thinking
Evaluating an AI News Article or Product Claim
Session Four: Machine Learning and Algorithms
How Machine Learning Works
Overview of Algorithms Commonly Used in AI
The Practical Applications and Challenges of Machine Learning
Session Five: Advanced Ethics and AI Safety
Detailed Discussion on Data Privacy and AI Security
The Role of AI in Surveillance and Personal Freedoms
Balancing Innovation with Ethical Concerns
Session Six: Case Studies of AI Implementations
AI in Various Industries: Opportunities and Challenges
Case Study: AI Implementation in Supply Chain Management by DHL
AI Implementations
Session Seven: Philosophical and Future Aspects of AI
AI and Consciousness: Philosophical Debates
The Potential for Artificial General Intelligence (AGI)
The Future Impact of AI on Society
Philosophical And Future Aspects of AI
Session Eight: AI Guidelines and Policies
Developing Draft AI Guidelines and Policies: A Collaborative Starting Point
Defining Core Principles for AI Ethics Guidelines
Session Nine: Critical Evaluation of AI Systems
Understanding AI Robustness, Reliability, and Limitations
Reliability In AI Systems: Importance and Maintenance
Areas Where AI Can Be Helpful in Critical Thinking
Personal Action Plan
Course Summary
Post-Course Assessment
Pre- and Post-Course Assessment Answer Key
Pre-Course Assessment
Post-Course Assessment
Assignment Answer Key
Session Two: Introduction to AI
Session Three: Critical Thinking with AI
Session Four: Machine Learning and Algorithms
Session Five: Advanced Ethics and AI Safety
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