Formalising Functional Responsibility in Hybrid Multi-agent Systems

We present a multi-modal Logic for Functional Responsibility (LFR) to model and check actual, capacity, and outcome responsibility of agents within hybrid computational systems with a user level ontology. For AI systems, this allows one to represent and trace responsibility of output to training dat