Overview

BlockClaim presents a conceptual and structural approach to authorship and attribution in environments influenced by artificial intelligence. The work examines the role of claims, provenance, and intellectual continuity within digital systems that rely on machine-readable meaning. Topics include authorship theory, preservation of origin, identity persistence, and the relationship between human creative intent and synthetic generation. The book is intended for researchers, archivists, institutional libraries, and individuals working in artificial intelligence ethics, digital stewardship, and long-term knowledge infrastructure. Authorship is no longer a simple matter of names, signatures, or timestamps. In an era where machines can generate, remix, and propagate information at planetary scale, inherited systems for attribution and meaning have begun to fracture. Human knowledge is accelerating, yet its provenance is dissolving. BlockClaim introduces a new framework for establishing authorship, accountability, and intellectual continuity in a world shaped by artificial intelligence. Instead of depending on central authorities, proprietary platforms, or shifting social consensus, BlockClaim presents a structure based on claims, intent, and machine-readable memory that can persist across systems, institutions, and time. This work outlines the foundations for a future in which meaning remains durable and identity remains verifiable. It describes an informational environment where ideas have traceable lineage, attribution can survive institutional turnover, and claims can remain stable across generations. Within such a model, human origin and synthetic origin are distinguishable, and both machines and humans can reference a shared record of meaning. BlockClaim is not a product or trend. It is a philosophical architecture supported by a practical blueprint. It is written for researchers, archivists, knowledge system designers, artificial intelligence developers, and all who recognize that meaning must remain traceable for civilization to function. Readers will examine how meaning becomes unstable at scale, why current intellectual property systems cannot adapt to synthetic authorship, and how ownership, origin, and continuity differ when information is fluid. The work also explores how claims may function as persistent anchors for memory and trust, and how future intelligent systems may interpret, inherit, and reference claims. BlockClaim is written for a focused but essential audience. Universities, research facilities, national archives, artificial intelligence institutes, and advanced digital knowledge infrastructures will find in this work a foundation for the next era of record keeping. Those working at the intersection of ethics, identity, memory, and machine cognition will recognize its relevance. Artificial intelligence is transforming authorship. The response cannot depend on improvisation or longing for an earlier era. It requires structure, precision, and a framework capable of surviving scale, complexity, and change. BlockClaim proposes one possible foundation. It is intended to remain readable, transferable, verifiable, and humanly understandable even as the character of intelligence continues to evolve. The future of authorship belongs to those who can prove what they created and who can preserve why it mattered.

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