[[/public:t-709-aies:AIES-25:main|DCS-T-709-AIES-2025 Main]]


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

  * Unit 1: **Foundations of AI, Ethics, and Intelligence**
    * Session 1-2: 
      * [[/public:T-709-AIES-2025:AIES-2025:Intro|Introduction & Concepts]]
      * [[/public:T-709-AIES-2025:AIES-2025:Intro2AI|Intro to AI Research]]
    * Session 3: 
      * [[/public:T-709-AIES-2025:AIES-2025:Classification_Control_Autonomy|Classification, Control & Meaning]]
    * Session 4: 
      * [[/public:T-709-AIES-2025:AIES-2025:Trust_Explanation_Meaning|Trust & Explanations]]
  * Unit 2: AI, Ethics, and Law
    * TBD
  * Unit 3: **Moral Theory & Ethical Frameworks**
    * Session 5:
      *  [[/public:T-709-AIES-2025:AIES-2025:Moral_Theories_I|Moral Theories I: Classical Foundations]]
    * Session 6:
      *  [[/public:T-709-AIES-2025:AIES-2025:Moral_Theories_II|Moral Theories II: Autonomy, Agency, and the Six Lenses of Ethical Decision Making]]
    * Session 7:
      *  [[/public:T-709-AIES-2025:AIES-2025:Principle_AI_Ethics|Principles of AI and Ethics]]
    * Session 8:
      *  [[/public:T-709-AIES-2025:AIES-2025:Ethics_by_Design|Ethics-by-Design and Participatory Ethics]]
  * Unit 4: **Real-World Systems and Ethical Practice**
    * Session 9:
      * In-class assignment
    * Session 10:
      * {{ :public:t-709-aies:aies-25:ai_ethics_and_society_-_lecture_01.10.2025.pdf|AI in Practice: What can go wrong? - PDF of lecture slides }}
    * Session 11:
      * {{ :public:t-709-aies:aies-25:ai_ethics_and_society_-_lecture_06.10.2025.pdf|AI in Practice: Cases of what can go wrong/right - PDF of lecture slides }}
    * Session 12:
      * [[/public:T-709-AIES-2025:AIES-2025:Ethics_Economy|Ethics & Economy: Labor & Inequality]]
  * Unit 5: **Futures, Governance & Risk**
    * Session 13:
      * [[/public:T-709-AIES-2025:AIES-2025:AI_Regulation|AI Regulation & EU AI Act]]
    * Session 14:
      * [[/public:T-709-AIES-2025:AIES-2025:Scenario_Planning|Scenario Planning & Ethical Foresight]]
    * Session 15:
      * [[/public:T-709-AIES-2025:AIES-2025:Case_Study_II|Case Study 2: Amazon Hiring Algorithm]]
    * Session 16:
      * [[/public:T-709-AIES-2025:AIES-2025:LLMs_Hallucination_Trust|LLMs, Hallucination & Trust]]
  * Unit 6: **Towards General Intelligence & AI Autonomy**
    * Session 17:
      * [[/public:T-709-AIES-2025:AIES-2025:Requirements_Next_Gen_AI|Requirements for Next-Gen AI]]
    * Session 18:
      * [[/public:T-709-AIES-2025:AIES-2025:Ten_Hypotheses_AGI|The Ten Hypotheses for AGI]]
    * Session 19:
      * [[/public:T-709-AIES-2025:AIES-2025:AGI_Risk|AGI Risk and Ethical Drift]]
    * Session 20:
      * [[/public:T-709-AIES-2025:AIES-2025:Wrap_Up|Course Wrap-Up and Presentation]]

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