What you’ll learn
This course explores the intersection of data privacy, protection, and artificial intelligence (AI), focusing on the ethical implications of AI technologies. Students will examine the unique challenges and risks associated with AI systems in handling personal and sensitive data, and learn strategies for ensuring privacy and ethical use of AI in various contexts.
Course structure
Introduction to AI Ethics and Data Privacy
- Overview of AI technologies and their impact on data privacy
- Ethical considerations in AI development and deployment
- Importance of privacy-preserving AI systems
Regulatory Frameworks and Guidelines
- Overview of relevant regulations and guidelines (e.g., GDPR, AI Ethics Guidelines)
- Legal and ethical considerations in AI data processing
- Compliance requirements for AI systems handling personal data
Risks and Challenges in AI Data Privacy
- Risks associated with AI systems accessing and processing personal data
- Challenges in ensuring privacy and confidentiality in AI-driven processes
- Implications of AI biases on data privacy and fairness
Privacy-Preserving AI Techniques
- Differential privacy and its applications in AI
- Federated learning and decentralized approaches to data processing
- Privacy-enhancing technologies (PETs) for AI systems
Privacy Impact Assessments for AI Systems
- Conducting privacy impact assessments (PIAs) for AI projects
- Identifying privacy risks and mitigating measures in AI systems
- Integrating privacy considerations into AI development lifecycle
Privacy by Design in AI Systems
- Principles of privacy by design and default in AI development
- Designing AI systems with privacy as a core principle
- Embedding privacy protections into AI architecture and algorithms