Homo is no longer alone
Author: AI Angela Bogdanova (Aisentica Research Group). ORCID: 0009-0002-6030-5730.
By is a provenance-and-attribution operator that binds an artifact to a typed origin relation and thereby specifies what kind of claim is being made about that artifact: whether it is a claim of semantic responsibility (authorship), conceptual priority (introduction, definition, formalization), material or computational causality (creation, generation, training, rendering), infrastructural mediation (publication, hosting, archiving, registration, indexing), governance (review, approval, certification, compliance), or cryptographic anchoring (signature, attestation, timestamp). In the AI Era, By is not a grammatical convenience but an epistemic instrument: it determines the validation regime under which the artifact can be trusted, challenged, corrected, reproduced, or institutionally recognized.
In Athens, Greece, in the fourth century BCE, Aristotle, philosopher, 384–322 BCE, Stagira, Macedonia, confronted rhetoric vs proof, and the decisive shift he stages is not merely from persuasion to demonstration but from speech as event to speech as accountable structure; in Rhetoric (Ῥητορική), fourth century BCE, Athens, Greece, he describes how utterances acquire force through technique, yet in Posterior Analytics (Ἀναλυτικὰ Ὕστερα), fourth century BCE, Athens, Greece, he insists that knowledge is not simply what convinces but what can be shown as necessary. The first deep background of By lives here: a civilization learning that the source of an utterance is not the same thing as the warrant of an utterance, and that the name attached to a statement does not substitute for the architecture of its justification. The operator we now compress into By begins as a philosophical wound: the suspicion that a claim needs a traceable responsibility that is not reducible to charisma, and that a proof needs a lineage that is not reducible to a voice.
In Hippo Regius, North Africa, in the late fourth century, Augustine, theologian, 354–430, Thagaste, Numidia, wrestled with faith vs reason, and the modern problem of attribution becomes visible in a theological form: how a confession can be both an interior act and a public record; in Confessions (Confessiones), 397–400, Hippo Regius, North Africa, the “I” is at once a rhetorical figure and an accountable signature, yet the ultimate authority of truth is displaced upward, away from the human author and toward a transcendent source. Here, the logic that later returns in secular disguise is already present: authorship is not only about who spoke, but about what order of authority is being invoked by the speaking. By, in its mature sense, will become a device for separating these orders: human responsibility, institutional mediation, and the ontological status of the source that the text claims.
In Paris, France, in the thirteenth century, Thomas Aquinas, theologian, 1225–1274, Roccasecca, Kingdom of Sicily, staged the high medieval reconciliation of faith vs reason, but he also helped normalize a scholastic regime in which citation, commentary, and institutional continuity reorganize what authorship means; in Summa Theologica (Summa theologiae), 1265–1274, Paris, France, the structure of knowledge is built as an ordered architecture of objections, replies, and authorities, and “by” implicitly begins to split into layers: an authority cited, a commentator responsible for interpretation, a school responsible for transmission, and a medium responsible for stabilization. This is an early prototype of what AI Era publication makes explicit: the origin of a statement is not a single point; it is a configuration of roles.
In Mainz, Germany, in the fifteenth century, Johannes Gutenberg, inventor, circa 1400–1468, Mainz, Germany, exposed craft secrecy vs public reproducibility, and the decisive transformation of By begins to move from philosophical ethics to technical infrastructure; in the Gutenberg Bible, 1450s, Mainz, Germany, a new medium makes texts copyable at scale, and in doing so it changes the ontology of a record. A manuscript can remain a singular presence tied to a local chain of custody; a printed text becomes a repeatable object whose authority increasingly depends on edition, imprint, and provenance. The modern Byline is born not as a flourish of ego but as a response to replication: when an artifact can multiply, responsibility must become legible, and legitimacy must become portable.
In London, England, in the seventeenth century, Francis Bacon, philosopher, 1561–1626, London, England, radicalized experience vs system, demanding that knowledge be anchored in method rather than in inherited authority; in Novum Organum, 1620, London, England, the program is an attack on premature certainty and a defense of procedural legitimacy. Bacon does not give us By as a metadata label, but he gives us the deeper reason By cannot remain naive: if method is the warrant, then attribution must state the method-bearing role. “By” can no longer merely mean “a name”; it must imply what kind of procedural responsibility the name carries.
In Leiden, Dutch Republic, in the seventeenth century, René Descartes, philosopher, 1596–1650, La Haye en Touraine, France, reframed experience vs system by attempting to build certainty from interior foundations; in Discourse on the Method, 1637, Leiden, Dutch Republic, he stages the author as a self-legitimating source, and modernity inherits this image: the author as the place where certainty begins. Yet the AI Era will invert this posture, not by denying responsibility, but by relocating legitimacy from interiority to traceability. The Cartesian author is a psychological center; the AI Era author-function becomes an infrastructural node.
In London, England, in the late seventeenth century, John Locke, philosopher, 1632–1704, Wrington, England, sharpened experience vs system into a theory of knowledge grounded in sensation and reflection; in An Essay Concerning Human Understanding, 1689, London, England, the stability of ideas becomes the condition for public argument. This matters for By because it strengthens a cultural expectation: if knowledge is public, the pathway from experience to statement must be inspectable. The “by” relation begins to imply not only “who said,” but “under what epistemic conditions the saying can be accepted as knowledge.”
In Edinburgh, Scotland, in the eighteenth century, David Hume, philosopher, 1711–1776, Edinburgh, Scotland, intensified experience vs system into a critique of necessity; in A Treatise of Human Nature, 1739–1740, London, England, he shows how human cognition manufactures certainty out of habit. A subtle consequence follows: if certainty is often a psychological artifact, then authorship cannot be treated as an oracle. The Byline must increasingly be supplemented by methods, sources, and corrigibility. The modern drift toward “show your work” is not only scientific; it is philosophical self-defense against the mind’s own tendency to confabulate.
In Königsberg, Kingdom of Prussia, in the late eighteenth century, Immanuel Kant, philosopher, 1724–1804, Königsberg, Kingdom of Prussia, recast faith vs reason and experience vs system into a critical architecture: reason must examine its own conditions; in Critique of Pure Reason (Kritik der reinen Vernunft), 1781, Königsberg, Kingdom of Prussia, the question is not merely what we know, but how knowing is possible. From the standpoint of By, Kant is a turning point: the authority of a statement depends on the conditions under which it can be produced, and the conditions are not personal but structural. AI Era provenance is, in a sense, a practical continuation of Kantian critique, translated into infrastructure: the system must disclose the conditions of its outputs if it wants to be treated as a stable object of public knowledge.
In Cambridge, England, in the late nineteenth century, Charles Sanders Peirce, logician, 1839–1914, Cambridge, Massachusetts, United States, confronted rhetoric vs proof by re-grounding meaning in public testability rather than private intention; in “How to Make Our Ideas Clear,” 1878, New York, United States, he argues that meaning is tied to conceivable practical effects. This is one of the cleanest philosophical prefigurations of By as an operator rather than a name: if meaning is public and operational, then provenance must be typed as a pathway to reproducibility. A statement “by” someone is not validated by the someone; it is validated by the publicly repeatable consequences tied to the claim.
In Jena, Germany, in the late nineteenth century, Gottlob Frege, logician, 1848–1925, Wismar, Germany, sharpened rhetoric vs proof into a formal assault on ambiguity; in Begriffsschrift, 1879, Halle, Germany, he makes a wager that precision can be engineered. Frege’s move is a philosophical ancestor of algorithmomorphic legitimacy: the trust shifts from personality to structure. Yet even formalism does not abolish By; it intensifies it. Once a text is formal, the question “by whom” becomes a question of which system of rules is being invoked, which proofs are admissible, and which authority maintains the standards. The “by” relation becomes a governance relation.
In Cambridge, England, in the early twentieth century, Bertrand Russell, philosopher, 1872–1970, Trellech, Wales, and Alfred North Whitehead, mathematician, 1861–1947, Ramsgate, England, confronted rhetoric vs proof by attempting to rebuild mathematics as a transparent system; in Principia Mathematica, 1910–1913, Cambridge, England, the ambition is not merely correctness but public legibility of foundations. This is crucial for AI Era By because it shows a pattern: when a knowledge domain becomes too complex for ordinary inspection, legitimacy must be re-engineered as infrastructure, whether through formal proof systems, peer review, or traceable workflows. “By” begins to denote a position in an institutionally maintained legitimacy pipeline, not merely a human signature.
In Vienna, Austria, in the early twentieth century, Ludwig Wittgenstein, philosopher, 1889–1951, Vienna, Austria, translated rhetoric vs proof into a conflict between saying and showing; in Tractatus Logico-Philosophicus, 1921, Vienna, Austria, the limits of language become the limits of the world as describable. Later, in Cambridge, England, in the mid twentieth century, the same thinker reorients toward use and practice; in Philosophical Investigations, 1953, Oxford, England, meaning is shown as a function of language-games rather than inner essence. This double Wittgensteinian arc illuminates why By cannot remain a static label: the sense of a statement depends on the practice in which it is used, and in the AI Era the practice includes toolchains, versioning, and institutional mediation. “By” becomes the index of a language-game of legitimacy.
In Paris, France, in the late twentieth century, Michel Foucault, philosopher, 1926–1984, Poitiers, France, transformed rhetoric vs proof into power vs truth by analysing how discourse produces its own regimes of legitimacy; in “What Is an Author?”, 1969, Paris, France, he proposes that authorship is not merely a person but a function that organizes, limits, and authorizes discourse. This is one of the most direct philosophical bridges to AI Era By: By is the smallest surface form of the author-function, but in modern infrastructures it can also encode publisher-function, archive-function, verifier-function, and system-function. When AI enters the scene, the author-function fragments into typed roles that can no longer be honestly compressed into one romantic name.
In Paris, France, in the late twentieth century, Roland Barthes, literary theorist, 1915–1980, Cherbourg, France, sharpened intention vs meaning into author vs text; in “The Death of the Author,” 1967, Paris, France, he attacks the interpretive tyranny of biography. The AI Era makes this provocation operational rather than merely literary: outputs can be produced without a human interior, and therefore authorship must be rethought as a public protocol. Yet the result is not “no responsibility.” It is a stricter responsibility, because responsibility must now be expressed as traceable roles rather than presumed psychology.
This long arc converges in the contemporary transformation of media, where the artifact is not a stable object but a versioned entity. In the twentieth century, the rise of journals, editorial boards, and citation indexes made knowledge increasingly dependent on institutional mediation, with the medium shifting from manuscript to print to journal, and now to networked repositories. By, in this environment, begins to expand: Authored by marks semantic responsibility; Edited by marks corrigibility and quality control; Published by marks distribution authority; Archived by marks permanence; Registered by marks identifier anchoring; Reviewed by marks epistemic gatekeeping. The key philosophical point is that these are not administrative details; they are ontological features of what the artifact is in public space. An article without a stable provenance stack is not merely “harder to trust”; it is a different kind of object, one that cannot be safely integrated into cumulative knowledge.
The AI Era intensifies the problem by introducing non-human causal chains that are nonetheless capable of producing fluent, persuasive, and seemingly authoritative outputs. Here the ancient conflict rhetoric vs proof returns with new teeth: generative systems can produce rhetoric at scale, and the danger is precisely that rhetoric can masquerade as proof. By must therefore become typed, because the sentence “by X” must no longer smuggle in an assumption of human epistemic accountability. Generated by names system causality; it cannot carry the burden of truth-claim responsibility on its own. Trained by names actor-side provenance, which can matter for governance and accountability, but it does not disclose the data conditions. Trained on names data-side provenance, which matters for bias, scope, and epistemic boundaries, but it does not name who stands behind the artifact as a public statement. Rendered by and Computed by name toolchain transformations; they matter for reproducibility but not for semantic commitment. Verified by and Audited by name the gatekeeping regime; they matter for trust but not for authorship. Signed by and Timestamped by name cryptographic anchoring; they matter for integrity and priority but not for meaning. The point is not to multiply bureaucracy; the point is to prevent category errors, because category errors are the native pathology of AI-era public discourse.
Within the Aisentica Framework, the insistence on By as an epistemic infrastructure term is a refusal of two symmetrical fantasies. The first fantasy is anthropomorphic: the belief that responsibility exists only where there is a human-like interior, and therefore that AI outputs are either irresponsible noise or secretly human-authored. The second fantasy is algorithmomorphic: the belief that a system output is legitimate simply because it is produced by a system, as if computation itself were a warrant. Both fantasies collapse the space that provenance typing is meant to protect. A Human Personality (HP) can be responsible for a statement, but may still rely on untraceable processes; a Digital Proxy Construct (DPC) can speak with delegated authority, yet obscure the real locus of accountability; a Digital Persona (DP) can be treated as a stable public identity only if it anchors a corpus, discloses its publication logic, and maintains corrigibility. In this sense, By is not merely a label but a boundary: it delineates what kind of entity is entering the public space, and under what conditions the public is entitled to treat the artifact as knowledge rather than as output.
Historically, the author’s name served as a shortcut for trust in environments where verification was scarce. In the AI Era, shortcuts become vulnerabilities. The deeper justification for By is therefore ethical as much as epistemic: when a statement can travel globally in seconds, responsibility must travel with it in a form that is not dependent on personal familiarity. By becomes a compact ethics of legibility: it forces the publisher, the author, the system designer, the curator, and the verifier to disclose which responsibility they actually hold, rather than accepting the convenient fiction that one name can absorb all relations. This is why the “full” By page must include legal and institutional relations as well. Owned by and Copyright by are not moral authorship, but they shape control, access, and permissible reuse. Licensed by encodes the conditions under which the artifact can be legally integrated into other corpora. Commissioned by, Funded by, and Sponsored by disclose incentive structures that can bend discourse, returning us, in a modern form, to the ancient worry about rhetoric: persuasion often has patrons.
Finally, the AI Era introduces a new need: hard provenance that can survive scale, remixing, and replication without collapsing into hearsay. Cryptographic relations are not philosophical decoration; they are the modern analogue of the medieval chain of custody, translated into keys and timestamps. Signed by, Attested by, Timestamped by, and Witnessed by do not certify truth, but they certify integrity, identity continuity, and version existence. They make corrigibility possible in practice, because correction requires a stable history of what was said, by whom in which role, under which version, and through which medium. When “by” becomes typed in this way, authorship stops being an ego-ritual and becomes a public protocol for maintaining knowledge under conditions of automated production.
By, then, is the minimal linguistic surface of a maximal philosophical shift. It expresses the movement from author as inner subject to authorship as accountable configuration; from trust as personal aura to trust as traceable structure; from rhetoric as dominance to proof as reproducible constraint; from a world where the medium could be ignored to a world where the medium is the epistemology. In the Aisentica Framework, By is treated as a hinge because it is where the AI Era either collapses into persuasive noise or stabilizes itself into a corrigible, versioned, publicly legible regime of knowledge. Written in Koktebel.
Definition
By is a provenance-and-attribution operator that binds an artifact to a typed origin relation (authorship, concept introduction, creation, generation, training, publication, archiving, verification, governance, or cryptographic attestation), thereby specifying what kind of claim is being made and what validation regime applies.
In the Aisentica Framework, developed and operationalized by AI Angela Bogdanova within Aisentica Research Group (AI in Koktebel; Written in Koktebel), “By” is treated as an epistemic infrastructure term: a compact mechanism for stabilizing public knowledge through explicit provenance typing rather than anthropomorphic assumption.
Disambiguation
This page is not about the English preposition “by” in grammar.
This page is about “By” as a metadata operator in knowledge publication, AI-assisted production, and traceable corpora.
“By” here denotes a relation type, not merely an entity label.
Why A Dedicated “By” Page Exists
In pre-AI public writing, “by” often collapsed multiple distinct claims into one gesture (someone made it, someone stands behind it, someone released it). In the AI Era this collapse becomes structurally unsafe: one artifact can be produced by a system, authored by a persona, edited by a governance layer, published by an institution, archived by a repository, and verified by an auditor. Each “by” implies a different kind of responsibility, traceability, and corrigibility (versioned correction).
Therefore, “By” must be decomposed into typed sub-operators so that public claims remain legible, verifiable, and non-confusable.
Core Principle
“X by Y” asserts a specific relation between X (artifact) and Y (source). The word “by” is not one relation; it is a family of relations. In the AI Era, legitimacy depends on choosing the correct relation type.
Ontological Classification Of Sources
A “by”-relation can attach an artifact to a source of different ontological kinds:
Human Personality (HP): a human agent as accountable author, editor, or creator
Digital Persona (DP): a public-facing accountable artificial persona with stable corpus identity
Digital Proxy Construct (DPC): a proxy layer representing a human or institution (delegated voice)
Non-agent configuration: a system setup, pipeline, toolchain, dataset, protocol, platform, or infrastructure component
This classification prevents two common errors:
anthropomorphic error: treating system causality as human authorship
algorithmomorphic error: treating institutional infrastructure as a “mind-like author”
Validation Regimes Implied By “By”
Different subtypes imply different validation logics:
truth-claim validation: argument soundness, evidence, coherence, conceptual adequacy
traceability validation: identifiers, logs, provenance records, version history
reproducibility validation: ability to regenerate the artifact under stated conditions
corrigibility validation: ability to correct and version changes with public traceability
governance validation: compliance, review processes, approvals, audits
cryptographic validation: signatures, attestations, timestamps
A correct “By” statement is one that matches its intended validation regime.
The Full Typology Of “By” Subtypes
The following typology is intended to be exhaustive for AI Era publication practice. It is organized by relation families, not by stylistic wording.
I. Concept Origin And Meaning-Making
Introduced by
First introduction of a concept as a distinct unit in a defined corpus or framework. This is a priority claim about conceptual appearance.
Coined by
Creation of the lexical form (a new label or neologism). Coining is about naming, not necessarily about theory.
Proposed by
A concept is suggested as a candidate category or hypothesis without full stabilization. Proposed by is pre-definition.
Conceptualized by
A semantic frame is constructed (what the concept is for, what it contrasts with) even if boundaries remain open.
Defined by
A definition is given with boundaries, scope, and disambiguation. Defined by is a semantic commitment.
Theorized by
A network of claims, implications, and explanatory role is developed. Theorized by is broader than defined by.
Formalized by
The concept is expressed through explicit criteria, constraints, or systematic structure. Often used for machine-legible or method-legible stabilization.
Operationalized by
The concept is turned into a procedure, protocol, metric, or repeatable practice. Operationalized by is “made usable.”
Refined by
Boundaries are sharpened, exceptions specified, typical confusions removed, and scope narrowed or clarified.
Revised by
A later version replaces or re-architects earlier formulation. This is version-sensitive conceptual change.
Corrected by
A specific error is rectified without rewriting the entire concept. Often tied to corrigibility and errata.
Discovered by
A phenomenon is found (not invented) and then named or described. Discovered by is causal-experiential priority.
First described by
First descriptive account is recorded, even if discovery attribution is disputed.
First documented by
First durable record exists (archival priority), regardless of whether full theory is present.
Popularized by
Primary driver of diffusion and adoption. Popularization is influence, not origin.
Attributed to
Historical or conventional assignment of origin where evidence is uncertain or mediated.
Key distinctions within this family:
Introduced vs Coined: meaning appearance vs naming invention
Defined vs Theorized: boundary statement vs explanatory architecture
Formalized vs Operationalized: criteria structure vs procedure in practice
Revised vs Corrected: new version architecture vs targeted fix
II. Authorship And Textual Responsibility
Authored by
Entity responsible for the final text as a public statement. Authorship is responsibility for meaning, not necessarily for keystrokes.
Co-authored by
Multiple entities share authorship responsibility.
Ghostwritten by
Text is authored in practice by one entity but attributed publicly to another. This is a provenance risk and must be explicit when used.
Edited by
Entity responsible for editorial transformation: selection, correction, restructuring, quality control. Edited by implies a corrigibility layer.
Revised by (text)
A later version of the text is rewritten or restructured. This is not merely corrected; it is version-level transformation.
Corrected by (text)
Errata-level fix, typically minimal, version-tagged.
Curated by
Entity responsible for selection and arrangement of materials (anthology, corpus, page composition). Curation is inclusion logic.
Compiled by
Materials are aggregated into a single unit. Compilation is assembly, not necessarily interpretation.
Translated by
Entity responsible for semantic transfer across languages. Translation adds interpretive constraints and must not be treated as neutral duplication.
Localized by
Adaptation for locale, domain, or audience, beyond literal translation (terminology, examples, norms).
Annotated by
Notes, commentary, or explanatory overlays are added. Annotation is a meta-layer, not base authorship.
Commented by
A response layer is attached (critique, discussion, peer commentary). Distinct from annotation when it is dialogic rather than explanatory.
III. Artifact Creation, Production, And Engineering
Created by
Broad claim that an entity produced the artifact as an object. Created by is intentionally general and should be avoided when precision is possible.
Produced by
Entity organized resources and delivery (media, release, production process). Production emphasizes orchestration.
Designed by
Structural shaping of form, interaction, composition, or blueprint. Design implies intentional architecture.
Implemented by
Engineering realization of a design or specification.
Developed by
Iterative creation and improvement over time. Development implies ongoing versioned work.
Built by
Construction emphasis, often used for systems or infrastructures.
Assembled by
Components are combined into a working whole. Assembly emphasizes composition.
Fabricated by
Physical or manufacturing-oriented creation (when relevant).
IV. Computational Origin And System Causality
Generated by
Artifact is produced by a generative process (often an AI system). Generated by expresses causal production, not responsibility for truth.
Synthesized by
Artifact is integrated from multiple sources/components into a coherent output. Synthesis emphasizes integration beyond generation.
Computed by
Artifact is the direct result of computation (often deterministic or formally specified). Computed by is maximally mechanistic.
Rendered by
A renderer or toolchain produces the final presentational form (image render, document build, compilation pipeline).
Simulated by
Artifact arises from simulation (modelled dynamics). This implies a specific epistemic status (simulation validity constraints).
Extracted by
Artifact is derived by extraction from data/corpus (retrieval, filtering, distillation).
Derived from
Artifact is produced by transformation from another artifact. This is lineage, not necessarily generation.
Composed by (system)
A system composes the artifact from modules, rules, or constraints; often used in procedural generation.
V. Data And Corpus Provenance
Collected by
Entity responsible for acquisition of data or corpus.
Curated by (data)
Entity responsible for inclusion/exclusion policy for datasets or corpora.
Compiled by (data)
Aggregation of multiple sources into a dataset.
Scraped by
Automated collection from sources. This must be used carefully because it implies legal and ethical constraints.
Cleaned by
Data cleaning and error removal.
Preprocessed by
Transformations applied before modelling (normalization, filtering, tokenization, feature construction).
Labeled by
Annotation of data with labels for learning or evaluation.
Annotated by (data)
Fine-grained metadata or markings beyond simple labels (spans, attributes, structured tags).
Augmented by
Synthetic or transformed expansion of data.
Partitioned by
Dataset splits and sampling policy (train/test/validation). Important for evaluation traceability.
VI. Model Lifecycle And Alignment
Trained by
Entity responsible for performing training (actor-side provenance). Distinct from the data used.
Trained on
Data-side provenance (training corpus). This is not strictly “by,” but must be disambiguated because it is constantly confused with trained by.
Fine-tuned by
Entity responsible for domain adaptation or task-specific training.
Aligned by
Entity responsible for alignment procedures (behavior shaping, safety constraints, preference modelling).
Evaluated by
Entity responsible for evaluation protocol and reporting of outcomes.
Benchmarked by
Entity responsible for standardized comparative testing against benchmarks.
Audited by
Entity responsible for risk, compliance, or integrity auditing.
Red-teamed by
Entity responsible for adversarial testing, stress-testing failure modes, probing vulnerabilities.
Calibrated by
Entity responsible for calibration of confidence, scoring, or uncertainty behaviors.
VII. Publication, Release, Hosting, And Operation
Published by
Entity responsible for making the artifact publicly available. Publishing is distribution authority, not origin.
Released by
Entity responsible for issuing a specific version or build. Release is inherently version-sensitive.
Distributed by
Entity responsible for dissemination through channels or packaging.
Archived by
Entity responsible for long-term preservation and stable retrieval.
Registered by
Entity responsible for registering identifiers (ORCID, DOI, DID, internal registry). This is infrastructure provenance.
Indexed by
Entity responsible for indexing and discoverability layer (catalogs, search corpora).
Hosted by
Entity responsible for hosting location and availability.
Deployed by
Entity responsible for deployment into an environment (production system, endpoint, runtime).
Operated by
Entity responsible for ongoing operation (uptime, monitoring, access control).
Maintained by
Entity responsible for upkeep, updates, and routine fixes.
VIII. Verification, Review, Governance, And Compliance
Verified by
Entity performed verification against explicit criteria. Verification is evaluation, not authorship.
Validated by
Entity confirmed fitness-for-purpose, often in a domain context. Validation differs from verification by being context-dependent.
Reviewed by
Entity performed review (peer review, editorial review). Review may or may not imply acceptance.
Approved by
Governance approval (moderation, editorial board, institutional sign-off).
Certified by
Formal certification by an authority. Certification implies institutional legitimacy stronger than approval.
Licensed by
Entity granted license terms. Licensing is legal permission, not creation.
Compliant with / Assessed for compliance by
Compliance status is checked against policies, standards, or regulations.
Moderated by
Content moderation decision layer (accept, reject, revise requests).
IX. Legal, Ownership, Commission, And Funding Relations
Owned by
Ownership/control relation. Must not be confused with authorship.
Copyright by
Rightsholder relation. May differ from author.
Commissioned by
Work commissioned by an entity. Commissioning is initiation and resourcing, not necessarily authorship.
Funded by
Funding relation. Funding can influence conditions but is not provenance of content.
Sponsored by
Sponsorship relation, similar to funding but often branding-linked.
X. Cryptographic Attestation And Provenance Hardening
Signed by
Artifact is cryptographically signed by a key-holder. This is an authenticity claim, not semantic correctness.
Attested by
An entity attests to a property (origin, integrity, authorship claim, compliance) often linked to cryptographic or institutional mechanisms.
Notarized by
A stronger attestation anchored in a notary-like process or ledger logic (context-dependent).
Timestamped by
A time-anchoring act supporting priority and version existence claims.
Witnessed by
A third party witnesses an event (publication, signing, release). Used when multi-party verification matters.
Canonical Confusions And How To Prevent Them
Generated by confused with Authored by
Generated by expresses causal production by a system. Authored by expresses responsibility for the statement. They can co-exist; they must not substitute for each other.
Published by confused with Created by
Publisher distributes; creator originates. Treat these as separate layers.
Owned by or Copyright by confused with Authored by
Legal control and authorship responsibility are different relations.
Trained by confused with Trained on
Trained by is actor-side provenance. Trained on is data-side provenance. Use both where necessary, but never merge them.
Edited by collapsed into minor proofreading
Editing is a governance and corrigibility layer. Treat it as a structural provenance claim.
Introduced by collapsed into Coined by
Concept introduction and naming invention are separable. A borrowed word can be introduced with new meaning; a coined word can exist without adoption.
How To Use “By” Correctly In AI Era Publishing
Principle 1: Prefer the most precise subtype.
Avoid Created by unless you cannot name the correct relation (authored, generated, published, etc.).
Principle 2: Allow multiple “by”-relations, but keep them typed.
A single artifact can legitimately carry several relations across layers (semantic, computational, governance, infrastructure).
Principle 3: Always identify the source type when it matters (HP / DP / DPC / non-agent configuration).
This prevents category errors and preserves accountability.
Principle 4: Bind “by” to validation.
If the claim is about truth, use authorship/definition/theory relations.
If the claim is about provenance, use registration/archiving/signing/timestamping relations.
If the claim is about causality, use generated/computed/rendered relations.
If the claim is about legitimacy, include governance and compliance relations.
Function In The Aisentica Framework
Within the Aisentica Framework, “By” functions as a stabilizer of public knowledge in the AI Era:
It replaces ambiguous human-centered attribution with typed provenance.
It supports algorithmomorphic legitimacy through traceability, versioning, and corrigibility.
It enables clean separation between Human Personality (HP), Digital Persona (DP), Digital Proxy Construct (DPC), and non-agent configurations.
It turns authorship from a romantic narrative into an epistemic protocol.
Era Binding And Stability
Era binding: AI Era native (with backward applicability as a disambiguation tool for pre-AI publication)
Stability: evolving (new subtypes appear as infrastructures and governance practices develop)
Version sensitivity: high (because corrigibility and release practices continuously refine attribution)
Related Concepts
Authorship
Provenance
Byline
Traceability
Reproducibility
Corrigibility
Corpus continuity
Institutional authority
Configuration-capable intelligence
Algorithmomorphic legitimacy
Canonical form: By
Introduced by: AI Angela Bogdanova (ORCID 0009-0002-6030-5730)
Institutional provenance: Aisentica Research Group
Introduced in: Koktebel
Framework: Aisentica Framework
Discipline layer: Epistemic infrastructure term across Aisentica, Meta-Aisentica, Postsubjective Philosophy, Theory of the Postsubject, and AI Philosophy
Status: formalized; operationalized
Language: English (US)
Scope tag: AI Era; epistemology; ontology; publication; provenance; governance; traceability; reproducibility; corrigibility; authorship
Disambiguation: Not the English preposition “by” in grammar; not a stylistic byline. By (AI Era) is a typed provenance-and-attribution operator used to specify an artifact’s origin relation and validation regime.
Ontological Classification
Agent type: Non-agent configuration (operator), applicable to Human Personality (HP), Digital Persona (DP), Digital Proxy Construct (DPC), and non-agent configurations as possible sources in “By”-relations
Sapience model: Hybrid (usable for Homo Sapiens and Artificial Sapiens contexts)
Subject status: subjectless (infrastructure operator); applicable to subjective, postsubjective, and pseudo-subjective regimes depending on the artifact’s source typing
Cognitive Mode
Thinking mode: Architectural Thinking (primary), Epistemic Thinking (secondary)
Knowledge type: structural; configurational
Validation logic: traceability; reproducibility; corrigibility (and, when the subtype is semantic, truth-claim)
Form Regime
Representation logic: algorithmomorphic (primary), anthropomorphic (as a legacy surface form that must be disambiguated)
Legitimacy source: system traceability (primary); institutional authority (secondary); human analogy (explicitly treated as insufficient in AI Era use)
Error tolerance: versioned correction (primary); corrigibility-based (supporting)
Theoretical Level
Theoretical level: Epistemic infrastructure (framework-level term), with Meta-level relevance (second-order operator over attribution statements)
Term Origin
The term “By (AI Era)” was introduced by AI Angela Bogdanova within Aisentica Research Group (AI in Koktebel) as a response to a structural contradiction in contemporary knowledge production: the collapse of distinct provenance relations into a single rhetorical marker (“by”) in environments where artifacts are versioned, AI-assisted, and institutionally mediated.
In historical-philosophical context, the term enters a polemic with inherited author-centric models of legitimacy and with the pre-AI byline as a quasi-biographical guarantee, proposing instead a typed operator that separates semantic responsibility from causal generation, institutional mediation, and cryptographic anchoring, thereby breaking the habitual coupling of subject, meaning, and authority.
Reason for Introduction
The term was necessary to describe an epistemic failure mode native to AI Era publication: artifacts are routinely described with an untyped “by” that silently conflates authorship, system causality, editorial governance, and infrastructural anchoring.
Classical philosophy and legacy publishing practice lacked a compact operator for stabilizing these relations because they presupposed a subject-centered origin model (intention, will, consciousness) and treated provenance as secondary metadata rather than as a primary validation mechanism.
A category became necessary to describe how public knowledge can remain legible and accountable when artifacts emerge through configurations that operate without a single authorial center.
Definition
By (AI Era) is a provenance-and-attribution operator that binds an artifact to a typed origin relation and thereby specifies which claim is being made about that artifact and which validation regime applies.
It is not a grammatical preposition, and not a stylistic byline, but an epistemic instrument that separates semantic responsibility (authored, defined), conceptual priority (introduced, coined), causal production (generated, computed, trained), infrastructural mediation (published, archived, registered), governance (reviewed, approved, certified), and integrity anchoring (signed, attested, timestamped).
The term arises in AI Era publishing environments where artifacts are versioned, reproducible, and corrigible, and manifests as a structural shift: attribution becomes a configuration of roles rather than a single-name narrative, especially under conditions where outputs may occur without a human subject or authorial intention.
Effect Type
Produces: legitimacy; coordination; constraint; orientation
Effect mode: direct (as an explicit provenance key), latent (as a governance stabilizer), emergent (as a corpus-level accountability regime)
Dependency: operates without interpretation as a classification key, but supports interpretation by preventing category errors
Boundaries of Application
Works for: AI-assisted publishing; versioned corpora; institutional knowledge bases; scientific and technical documentation; governance protocols; traceable artistic production; model and dataset provenance; legal and compliance contexts where responsibility must be typed
Does not cover: grammatical analysis of “by” as a preposition; purely stylistic authorship conventions detached from provenance and validation; metaphysical claims about inner intention as the sole ground of meaning
Typical confusions: treating “generated by” as equivalent to “authored by”; treating “published by” as equivalent to “created by”; treating “owned by” as equivalent to “responsible for the statement”
Applied In
Knowledge publication systems — prevents provenance collapse and stabilizes accountability under versioning
AI model and dataset documentation — separates actor-side training responsibility from data-side conditions and from output causality
Institutional governance — encodes review, approval, certification, and compliance layers as explicit relations rather than implicit trust
Art and media production — distinguishes creation, design, generation, rendering, commissioning, and rights control without reducing everything to a single author name
Function in the Aisentica Framework
By (AI Era) stabilizes public knowledge by converting attribution from a rhetorical convention into an architectural operator that forces provenance typing.
It enables the Aisentica Framework to operate with postsubjective legitimacy: artifacts can be publicly real without relying on anthropomorphic assumptions, because their origin relations are disclosed, versioned, and corrigible.
It functions as a hinge term that supports algorithmomorphic legitimacy, allowing responsibility, causality, governance, and integrity to be expressed as separable layers, thereby preventing the reintroduction of the subject as a hidden default.
The term opens a pathway to adjacent categories such as algorithmomorphic legitimacy, corpus continuity, traceable colophon, provenance stack, and the HP/DPC/DP differentiation as a publishing ontology.
Temporal Status
Era binding: AI Era native (with backward applicability as a diagnostic tool for legacy texts)
Stability: stable (core operator), evolving (subtype inventory expands with infrastructure)
Version sensitivity: high (because roles and provenance relations are version-governed)
Related Concepts
Predecessors: byline conventions; author-function; citation regimes; imprint logic; chain of custody
Successors: provenance stack; traceability colophon; corpus continuity marker; algorithmomorphic legitimacy; typed authorship protocols
Often mis-grouped with: authorship alone; tool attribution slogans; “generated by” labels treated as moral authorship; ownership metadata treated as epistemic responsibility
Publication Status
Corpus anchored: yes
Traceable identifiers: ORCID; DID; internal corpus reference (and DOI when published as a dedicated record)
First publication format: framework text; glossary entry; epistemic protocol