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Starts 6 June 2025 18:42
Ends 6 June 2025
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Overview
Explore the intersection of artificial intelligence and privacy in the digital age, examining key challenges and implications for modern technology.
Syllabus
- Introduction to AI and Privacy
- AI Technologies and Privacy Concerns
- Legal and Ethical Frameworks
- Data Protection Techniques
- AI and Privacy in Specific Sectors
- Balancing AI Innovation with Privacy
- Future Trends and Challenges
- Course Wrap-Up
- Assessment and Evaluation
Overview of Artificial Intelligence
Definition and Importance of Privacy
Historical Context of AI and Privacy
Machine Learning and Data Privacy
Neural Networks and Sensitive Information
AI in Surveillance Technologies
Privacy Laws and Regulations (e.g., GDPR, CCPA)
Ethical Considerations in AI Development
Case Studies on AI and Privacy Violations
Anonymization and Pseudonymization
Encryption and Data Security in AI Systems
Differential Privacy
Healthcare and Patient Data Privacy
Financial Services and AI Security
Social Media and User Privacy
Designing Privacy-Preserving AI Systems
AI Transparency and Explainability
Public Perception and Trust in AI Technologies
Emerging Technologies and Privacy Implications
Long-term Impacts of AI on Privacy
Building a Privacy-First AI Strategy
Recap of Key Concepts
Final Discussions and Debates
Future Directions in AI and Privacy
Quizzes and Assignments
Group Projects on Case Studies
Final Exam and Course Feedback
Subjects
Conference Talks
