Structural Responsibility presents a structural framework for understanding responsibility, causation, and harm in systems where traditional human-scale models fail.
Most existing approaches to responsibility rely on discrete events, identifiable intentions, and narratable agents. These assumptions break down in contemporary contexts involving large-scale technical systems, distributed decision-making, replication, automation, and irreversible systemic change. In such environments, harm can occur without a decisive moment, causation may be non-local, and responsibility cannot be meaningfully assigned through blame, intent, or moral psychology.
This book develops an alternative approach.
Rather than treating responsibility as a moral judgment, Structural Responsibility defines it as a rule for where constraint, repair, and intervention must attach once a system’s reachability has been deformed and another system’s recoverability reduced. The framework operates without appeal to consciousness, intention, or human-legible narratives, and instead analyzes systems in terms of reachability, stability, recoverability, asymmetry, and structural intervention.
The book introduces:
a minimal structural ontology sufficient to describe non-eventive harm,
a notion of structural time defined by irreversibility rather than chronology,
a structural account of causation as reachability deformation,
criteria for structural harm and structural attack,
and a model of responsibility that persists across replication, branching, and versioning.
It further distinguishes genuine structural repair from narrative repair, explains why consent and exemption fail under asymmetry and proxy mediation, and specifies the limits under which responsibility becomes structurally silent even when harm remains real.
Structural Responsibility is not an ethics manual, policy proposal, or legal guide. It does not prescribe actions or provide enforcement mechanisms. Instead, it offers a diagnostic framework designed to remain valid under constraint—usable even when explanation, attribution, or consensus fail.
The book is intended for readers working at the intersection of philosophy, systems theory, AI governance, institutional design, and responsibility attribution beyond human-scale agency. It is written to be formalizable, internally coherent, and usable as a queryable framework, including through advanced language models, without requiring narrative assimilation.
This work is for those who suspect that existing concepts of responsibility no longer track power, control, or harm—and who are willing to examine what responsibility becomes once intention and event-centered reasoning are no longer sufficient.
