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

📰 ArXiv cs.AI

Learn how to allocate tasks between humans and AI systems using HAAS, a policy-aware framework for adaptive task allocation

advanced Published 5 May 2026

Action Steps

Apply HAAS framework to identify tasks that can be automated by AI
Configure policy-aware rules to govern task allocation between humans and AI
Test the framework with real-world scenarios to evaluate its effectiveness
Compare the performance of human-AI collaboration with and without HAAS
Run simulations to analyze the impact of HAAS on efficiency and oversight

Who Needs to Know This

Data scientists, AI engineers, and product managers can benefit from HAAS to optimize task allocation and improve efficiency in human-AI collaboration

Key Insight

💡 HAAS framework enables adaptive task allocation between humans and AI systems, balancing efficiency, oversight, and human capability

Key Takeaways

Learn how to allocate tasks between humans and AI systems using HAAS, a policy-aware framework for adaptive task allocation

Full Article

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

Abstract:
arXiv:2605.02832v1 Announce Type: new Abstract: Deciding how to distribute work between humans and AI systems is a central challenge in organisational design. Most approaches treat this as a binary choice, yet the operational reality is richer: humans and AI routinely share tasks or take complementary roles depending on context, fatigue, and the stakes involved. Governing that distribution -- balancing efficiency, oversight, and human capability -- remains an open problem. This paper presents Hu

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