Conditional Delegation

Conditional delegation explores how to strategically assign tasks or decisions between different agents, such as humans and AI models, or within a group of AI models, based on specific conditions or trust levels. Research focuses on optimizing delegation strategies using techniques like multi-armed bandits and liquid democracy models, aiming to improve efficiency and accuracy in diverse applications. This approach holds significant promise for enhancing performance in continual learning, improving trust and security in IoT systems, and creating more effective human-AI collaborations, particularly in high-volume decision-making tasks like content moderation.