Game-theoretic safety guarantees for advanced AI systems

As information systems become increasingly AI-centric and autonomous, traditional security frameworks no longer adequately address questions of safety, control and privacy, especially in situations where multiple AI agents collaborate autonomously. Canada CIFAR AI Chair Zhijing Jin proposes using game theory, a robust theoretical framework, to provide provable guarantees to mitigate misaligned behaviours and offer concrete tools for policymakers and AI developers to maintain control in multi-agent scenarios.