The Responsibility Quantification (ResQu) Model of Human Interaction with Automation

📖 Description

Abstract ? Intelligent systems and advanced automation are involved in information collection and evaluation, in decision- making and in the implementation of chosen actions. In such systems, human responsibility becomes equivocal. Understanding human causal responsibility is particularly important when systems can harm people, as with autonomous vehicles or, most notably, with autonomous weapon systems (AWS). Using Information Theory, we developed a responsibility quantification (ResQu) model of human causal responsibility in intelligent systems and demonstrated its applications on decisions regarding AWS. The analysis reveals that human comparative responsibility for outcomes is often low, even when major functions are allocated to the human. Thus, broadly stated policies of keeping humans in the loop and having meaningful human control are misleading and cannot truly direct decisions on how to involve humans in advanced automation. The current model assumes stationa...

📊 Game Impacts

💭 Reactions

🔗 Sources

• [1] https://arxiv.org/abs/1810.12644