HAAS: A Policy-Aware Framework for Adaptive Task Allocation Between Humans and Artificial Intelligence Systems

In three linesHAAS is a framework for adaptive task allocation between humans and AI systems in software engineering and manufacturing. It combines rule-based governance constraints with contextual-bandit learning. Results show governance is not binary but a tunable design variable: moderate governance improves operational performance and reduces fatigue in manufacturing while remaining competitive as the learner gains experience.

Summary generated by Claude — human-verified