Key Concepts:
- Data Privacy: Respecting user consent and confidentiality.
- Anonymization: Removing identifiable information from datasets.
- Compliance: Following laws like GDPR or Pakistan’s Personal Data Protection Bill.
1. Understanding AI Ethics
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2. Common Types of Bias in AI
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3. Privacy and Data Protection
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4. Transparency and Explainability
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5. Responsible Use of Generative AI
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6. Ethical AI in Business and Society
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7. Capstone — Build an AI Ethics Framework
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