Human Algorithm

Human-algorithm collaboration, or "human algorithms," focuses on designing systems that optimally integrate human expertise with algorithmic capabilities to improve decision-making and problem-solving. Current research emphasizes developing hybrid models, such as "centaurs," that synergistically combine human intuition with machine learning techniques like transformers and reinforcement learning, often addressing specific tasks such as combinatorial optimization or knowledge graph expansion. This interdisciplinary field is significant for enhancing the efficiency and accuracy of various applications, from regulatory processes (e.g., FDA medical device approvals) to complex decision-making tasks where human judgment and algorithmic precision are both crucial.