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Week 8: Case Studies

Week 8: Case Studies#

Focus: Deep dives into real-world examples


📚 Case Study Readings#

  1. “The COMPAS Recidivism Algorithm” (20 min)

    • Predictive policing and criminal justice
    • ProPublica investigation
    • Questions of bias and accountability
  2. “Amazon’s Hiring Algorithm” (20 min)

    • Gender bias in recruitment AI
    • Training data issues
    • Lessons learned and corrections

Supplementary Cases#

  • Facial recognition systems and civil liberties
  • Social media algorithms and misinformation
  • ChatGPT and generative AI capabilities/limitations
  • Select your own case study from current news

💭 Analysis Framework#

For each case study, consider:

  1. Technical: How does the AI system work?
  2. Social: Who is affected? How are different groups impacted differently?
  3. Ethical: What went wrong? What principles were violated?
  4. Policy: What regulatory or governance responses occurred?
  5. Lessons: What can we learn for future AI development?

📝 Preparation for Class#

  • Read assigned case studies thoroughly
  • Prepare a 3-minute case summary: system, context, issues, outcomes
  • Bring questions and observations to class discussion

See Week 8 Assignment for this week’s case study analysis task.