public:t-709-aies:aies-25:lecture_notes [Center for Analysis and Design of Intelligent Agents]

public:t-709-aies:aies-25:lecture_notes

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DCS-T-709-AIES-2025 Main

DCS-T-709-AIES-2025 Links to Lecture Notes

Unit 1: Foundations of AI, Ethics, and Intelligence
- Session 1-2:
  - Introduction & Concepts
- Session 3:
  - Classification, Control & Autonomy
- Session 4:
  - Trust, Explanation & Meaning
Unit 2: Moral Theory & Ethical Frameworks
- Session 5:
  - Moral Theories I: Classical Foundations
- Session 6:
  - Moral Theories II: Autonomy & Agency
- Session 7:
  - Principles of AI and Ethics
- Session 8:
  - Ethics-by-Design and Participatory Ethics
Unit 3: Real-World Systems and Ethical Practice
- Session 9:
  - AI in Practice: What can go wrong?
- Session 10:
  - Case Study 1 - COMPAS (Criminal Justice)
- Session 11:
  - Platform Power & Surveillance
- Session 12:
  - Ethics & Economy: Labor & Inequality
Unit 4: Futures, Governance & Risk
- Session 13:
  - AI Regulation & EU AI Act
- Session 14:
  - Scenario Planning & Ethical Foresight
- Session 15:
  - Case Study 2: Amazon Hiring Algorithm
- Session 16:
  - LLMs, Hallucination & Trust
Unit 5: Towards General Intelligence & AI Autonomy
- Session 17:
  - Requirements for Next-Gen AI
- Session 18:
  - The Ten Hypotheses for AGI
- Session 19:
  - AGI Risk and Ethical Drift
- Session 20:
  - Course Wrap-Up and Presentation

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