The paper introduces Human-AI Adaptive Symbiosis (HAAS), a policy-aware framework designed for adaptive task allocation between humans and AI systems in software engineering and manufacturing. It presents a dual-component system consisting of a rule-based expert system for governance constraints and a contextual-bandit learner for selecting collaboration modes based on feedback. Key findings include the realization that governance is a flexible design variable, with tighter constraints transitioning AI assignments to supervised roles, the potential for improved operational performance in manufacturing through stronger governance, and the competitiveness of moderate governance as experience within the action space increases. HAAS serves as a pre-deployment tool for evaluating human-AI allocation strategies prior to organizational implementation.
HAAS Framework Enhances Human-AI Task Allocation in Software Engineering and Manufacturing
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