Ethical Obligations of Provenance in AI Scale Knowledge Systems

What problem does the paper answer?

What ethical obligations arise when AI-scale knowledge systems can preserve, dissolve, or obscure the provenance of claims as those claims are recombined, transformed, and operationalized across time?

Provenance as an ethical precondition

The paper reframes provenance as an ethical condition for accountability rather than as a technical, administrative, or documentary feature. It argues that attribution loss is a structural ethical harm because it weakens the ability to connect claims to their origins, contexts, and responsible agents. The paper develops the concept of responsibility without adjudication to show that systems and institutions can have an ethical duty to preserve claim continuity even before any dispute, judgment, or enforcement action occurs.

General-reader summary

This paper argues that AI ethics depends on something more basic than fairness, transparency, or accountability: the preservation of provenance. In AI-scale knowledge systems, claims are copied, summarized, recombined, and operationalized across contexts that may weaken or erase their connection to original sources. When this happens, ethical evaluation becomes harder because responsibility loses its historical anchor. The paper treats attribution loss as a structural ethical harm and develops the idea of responsibility without adjudication: the obligation to preserve the conditions under which later ethical judgment remains possible, even when no immediate judgment is being made. BlockClaim is used as a boundary case to show that minimal provenance preservation is possible without centralized authority, consensus, or enforcement.

Manuscript abstract

Contemporary discussions of artificial intelligence ethics focus predominantly on downstream concerns such as bias, fairness, transparency, and accountability. This paper argues that these concerns presuppose a more fundamental ethical condition that remains insufficiently examined: the preservation of provenance. In AI scale knowledge systems, where claims are continuously recombined, transformed, and operationalized beyond direct human oversight, the loss of attribution constitutes a structural ethical harm. Without durable links between claims and their origins, responsibility becomes diffuse, moral relationships weaken, and ethical evaluation is increasingly misdirected toward outcomes detached from their conditions of production.

This paper develops a conceptual framework in which provenance is understood as an ethical precondition for meaningful accountability rather than a technical or administrative feature. It introduces the concept of responsibility without adjudication, emphasizing the obligation to preserve the conditions under which ethical evaluation remains possible even in the absence of immediate judgment or enforcement. The analysis further examines the duties of designers and institutions as stewards of claim continuity and introduces BlockClaim as a boundary case illustrating that minimal provenance preservation is technically feasible without requiring centralized authority or consensus.

By reframing attribution loss as an upstream ethical harm, the paper situates provenance as a foundational condition for responsible knowledge systems. The preservation of claim continuity is thus not optional but necessary for sustaining moral intelligibility in AI mediated environments.

Terms to remember

Ethics needs memory

AI ethics cannot operate well if the systems under examination dissolve the lineage of the claims they use. This paper matters because it moves provenance upstream, treating memory, attribution, and continuity as ethical requirements rather than optional metadata. If later actors cannot reconstruct where a claim came from, ethical judgment begins too late and with too little ground beneath it.

Place in the larger research program

This paper extends the attribution and accountability line by shifting the emphasis from infrastructure to ethics. Where the prior attribution paper treats provenance as an enabling condition for accountability, this paper argues that preserving provenance is itself an ethical obligation. It also prepares the ground for later work on external evaluability, distributed witnessing, and historical continuity.

Submission and revision path

• Portfolio filename begins with 04.
• Developed as part of the early attribution, provenance, and accountability sequence.
• Current manuscript emphasizes ethical obligations, responsibility without adjudication, and the moral role of claim continuity.
• Submission identification is not currently available.

Ethical accountability depends upon preserving the provenance that keeps responsibility visible across time.