AI and Digital Resilience Index
This index maps key concepts and concerns at the intersection of Artificial Intelligence and Digital Resilience, including issues of privacy, surveillance, autonomy, and ethical accountability.
Use this hub to explore:
- How AI systems impact privacy, bias, and autonomy
- Tools and emerging techniques for mitigating AI harms
- Ethical frameworks and governance models
🔐 Privacy & Security Implications
- Bias in AI 🔹 – How algorithmic bias undermines equity and fairness
- Ethics in AI 🔹 – Ethical frameworks guiding AI development and deployment
- Surveillance AI 🔸 – AI-driven surveillance systems and their societal impacts
- Privacy-Preserving AI 🔸 – Techniques to safeguard privacy within AI systems
🛠️ Tools & Techniques
- Federated Learning 🔸 – Distributed AI training preserving data locality
- Differential Privacy 🔸 – Mathematical guarantees for individual data protection
- Homomorphic Encryption 🔸 – Secure computation on encrypted data without decryption
🔗 Related Maps of Content
💡 This Index is a specialized hub within the broader Technology & Society Index. Use it to deepen your understanding of AI’s complex interplay with privacy and resilience.