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Week - 1 |
Introduction: Why AI Ethics? Key Moral Philosophy Concepts (Utilitarianism, Deontology, Virtue Ethics). |
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Week - 2 |
Bias in AI I: What is bias? Data, Algorithmic, and Human sources of bias. |
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Week - 3 |
Bias in AI II: Concepts and Metrics of Fairness. Case Study: COMPAS (Criminal Justice). |
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Week - 4 |
Explainability (XAI) and Interpretability: The "Black Box" Problem. Accountable to whom? |
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Week - 5 |
Accountability and Liability: When AI fails, who is responsible? (User, Developer, Company?). |
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Week - 6 |
Privacy and Surveillance I: Data Collection, Big Data, and AI. Facial Recognition Technologies. |
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Week - 7 |
Privacy and Surveillance II: Legal Frameworks. KVKK in Turkey and GDPR in Europe. |
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Week - 8 |
AI and Manipulation: Recommender Systems, Filter Bubbles, Social Media, and Democracy. |
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Week - 9 |
Ethics of Generative AI I: Deepfakes, Disinformation, and Information Integrity. |
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Week - 10 |
Ethics of Generative AI II: Intellectual Property, Copyright, and the Future of Art. |
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Week - 11 |
Autonomous Systems I: Self-Driving Cars and the "Trolley Problem". Ethical Decision-Making. |
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Week - 12 |
Autonomous Systems II: Lethal Autonomous Weapons Systems (LAWS) and Military Ethics. |
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Week - 13 |
The Future of AI: Labor (Job Displacement, Automation), Economic Impacts, and UBI debates. |
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Week - 14 |
The Future of AI II: Artificial General Intelligence (AGI), Superintelligence, Value Alignment, and National AI Strategies. |