4 papers
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…
HAAS Studio: A Tool for Simulating, Benchmarking, and Governing Human-AI Work Allocation
Vicente Pelechano
We present HAAS Studio, a simulation and decision-support tool for policy-aware adaptive task allocation between humans and AI systems. HAAS Studio turns the HAAS framework into an…
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…
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…