Some[Body] Must Receive That Pain for Agent Accountability

TL;DR

The paper discusses the importance of consequence reception in AI agents, arguing that without a mechanism for pain or corrective feedback, accountability and future behavior regulation are compromised.

Contribution

It highlights the sociotechnical challenges in designing AI architectures that enable consequence-agency coupling for effective accountability.

Findings

Current AI systems lack mechanisms for consequence reception.

Legal and technical frameworks fail to ensure AI receives behavioral signals.

Proposes that designing AI with consequence-receiving bodies is essential for accountability.

Abstract

AI agents increasingly act consequentially in the real world. This creates a problem we call \emph{consequence reception}: harm occurs, the producing system is identified, yet no continuing agent receives consequences in a way that changes future behavior. Pain, understood mechanistically as a corrective feedback signal, is foundational to canonical theories of punishment -- deterrence, rehabilitation, retribution, and incapacitation all assume a continuing locus that registers the signal and updates behavior. That, in turn, requires a body for the signal to land on: a boundary whose integrity it protects, a locus where it accumulates, consolidation that converts episodic signal into durable update, and a substrate that responds by altering future action. Current LLM agents -- software-defined composites of weights, prompts, tools, memory, and credentials, freely swapped, copied, reset, and reassembled -- satisfy none of these conditions. The two prevailing legal responses therefore fail to achieve consequence reception. The thin-identity agent-principal dyad has a body but no \emph{consequence--agency coupling}: the human bears pain for behaviors beyond their control -- Elish's \emph{moral crumple zone}. The thick-identity Arbel et al.'s \emph{Algorithmic Corporation} creates legally legible entities but does not guarantee that any AI decision architecture receives pain as a behavioral signal. Achieving consequence-agency coupling is therefore a sociotechnical infrastructural problem, not only a legal one. Until such architectures exist, high-stakes AI deployment should remain tethered to accountable human principals with meaningful control, proportional liability, and authority to constrain or terminate the agent. \emph{If some body does not receive the pain by design, some body will receive it by default.}