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cs.AI2026
The Handover Problem: Governing Autonomy Transitions in Human-AI Collaboration
Vicente Pelechano, Antoni Mestre, Manoli Albert +1
Human-machine systems rarely operate at a fixed level of AI autonomy. As operators and AI systems collaborate over time, control must shift: the AI can take on more responsibility…
cs.AI2026
HAAS: A Policy-Aware Framework for Adaptive Task Allocation Between Humans and Artificial Intelligence Systems
Vicente Pelechano, Antoni Mestre, Manoli Albert +1
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 re…
cs.AI2026
Extended Empirical Validation of the Explainability Solution Space
Antoni Mestre, Manoli Albert, Miriam Gil +1
This technical report provides an extended validation of the Explainability Solution Space (ESS) through cross-domain evaluation. While initial validation focused on employee attri…