Filtered by: AI Safety

NUS Tags Filter
3 July 2025
Explore how scalable collaborative zk-SNARKs enable fast, secure zero-knowledge proofs across multiple servers. This breakthrough improves privacy and scalability for AI verification, blockchain, and data markets, making advanced cryptography more accessible.
RF_Website_Lee Yi-Chieh ICA Award
4 June 2025
A new study led by Professor Mohan Kankanhalli (Provost’s Chair Professor and Director of NUS AI Institute) reveals that large language models exhibit human-like psychological vulnerabilities when subjected to AI-driven bullying, raising important questions about AI safety and behaviour.
RF-MohanKankanhalli-BullyingAI-Website