1
History of AI
From Turing tests to Modern LLMs.
Learning Outcomes:
• Discuss the "AI Winter"
• Identify key milestones in neural network history
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2
Ethics & Bias
Analyzing algorithmic bias and fairness in datasets.
Learning Outcomes:
• Identify proxy variables
• Discuss the social impact of automated hiring
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3
AI in Healthcare
Applications of diagnostic AI and privacy concerns.
Learning Outcomes:
• Explain HIPAA compliance in AI
• Analyze medical imaging computer vision models
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4
Future of Work
Automation and the evolving job market.
Learning Outcomes:
• Discuss human-in-the-loop systems
• Evaluate the rise of prompt engineering