π¨ New Article - Plagiarism Ex Machina: Structural Appropriation in Large Language Models
This article examines the transformation of human-authored textual corpora into predictive generative capacity without transparent source attribution.
πhttps://https://zenodo.org/records/20070859
#LLM #MedicalNLP #LegalTech #MedTech #AIethics #AIgovernance #cryptoreg
#healthcare #ArtificialIntelligence #NLP #aifutures #LawFedi #lawstodon
#tech #finance #business #agustinvstartari #medical #linguistics #ai #LRM
Plagiarism Ex Machina: Structural Appropriation in Large Language Models
The transformation of human-authored textual corpora into predictive generative capacity without transparent source attribution or recoverable provenance. The paper shifts the AI plagiarism debate from copying and memorization toward structural appropriation, recombinative authorship, and generative provenance. Large language models introduce a form of plagiarism that cannot be reduced to verbatim copying or copyright infringement. Their central operation is structural appropriation: the absorption, recombination, and redeployment of human intellectual labor under conditions of referential opacity and attribution collapse. Structural appropriation; Recombinative plagiarism; Referential opacity; Attribution collapse; Synthetic originality; Predictive authorship; Latent intellectual debt; Corpus parasitism; Invisible intellectual labor; Generative provenance.
π¨ New Article - Plagiarism Ex Machina: Structural Appropriation in Large Language Models
This article examines the transformation of human-authored textual corpora into predictive generative capacity without transparent source attribution.
πhttps://https://zenodo.org/records/20070859
#LLM #MedicalNLP #LegalTech #MedTech #AIethics #AIgovernance #cryptoreg
#healthcare #ArtificialIntelligence #NLP #aifutures #LawFedi #lawstodon
#tech #finance #business #agustinvstartari #medical #linguistics #ai #LRM
π¨ New Article - Protocol as Prescription: Governance Gaps in Automated Medical Policy Drafting
This article examines how health policy texts drafted with large language models can detach legal responsibility from the formal circuit of governance.
πhttps://papers.ssrn.com/sol3/papers.cfm?abstract_id=5561339
#LLM #MedicalNLP #LegalTech #MedTech #AIethics #AIgovernance #cryptoreg
#healthcare #ArtificialIntelligence #NLP #aifutures #LawFedi #lawstodon
#tech #finance #business #agustinvstartari #medical #linguistics #ai #LRM
Protocol as Prescription: Governance Gaps in Automated Medical Policy Drafting
<p><span>This article examines how health policy texts drafted with large language models can detach legal responsibility from the formal circuit of governance.
π¨ New Article - Protocol as Prescription: Governance Gaps in Automated Medical Policy Drafting
This article examines how health policy texts drafted with large language models can detach legal responsibility from the formal circuit of governance.
πhttps://papers.ssrn.com/sol3/papers.cfm?abstract_id=5561339
#LLM #MedicalNLP #LegalTech #MedTech #AIethics #AIgovernance #cryptoreg
#healthcare #ArtificialIntelligence #NLP #aifutures #LawFedi #lawstodon
#tech #finance #business #agustinvstartari #medical #linguistics #ai #LRM
Protocol as Prescription: Governance Gaps in Automated Medical Policy Drafting
<p><span>This article examines how health policy texts drafted with large language models can detach legal responsibility from the formal circuit of governance.
Time Without a Clock: Future-Admissibility as the Source of Temporal Direction
We argue that temporal direction does not require an external clock or a privileged first instant. Time is the parameter that maximizes joint predictability among coupled observables under a minimal admissibility set. Given reversible microdynamics, the admissibility set restricts the space of attainable histories and thereby induces asymmetric gradients in the present, selecting an arrow without invoking teleology. This operational criterion unifies thermodynamic and cosmological arrows as instances of the same constraint mechanism: when admissibility suppresses late-time macroscopic complexity, the two arrows coincide; when the constraint flattens, effective time symmetry is recovered. We extend the framework across domains by treating grammatical constraints as admissibility sets over sequences, yielding an operational notion of discourse directionality defined by the same predictability maximization. Three toy models, a coarse-grained gas, a coupled lattice, and an FRW sketch with bounded late-time curvature, illustrate the mechanism and delimit its empirical signatures. Date: February 2026 DOI Primary archive: https://doi.org/10.5281/zenodo.18552401 Secondary archive: https://doi.org/10.6084/m9.figshare.31295488 SSRN: Pending assignment (ETA: Q1 2026)
Foundation-model governance pathways: from preference models to operative rules
<p><span>Current research on foundation model alignment concentrates on preference optimization and reward model design, yet it does not explain how these mecha
Foundation-model governance pathways: from preference models to operative rules
<p><span>Current research on foundation model alignment concentrates on preference optimization and reward model design, yet it does not explain how these mecha
Foundation-model governance pathways: from preference models to operative rules
<p><span>Current research on foundation model alignment concentrates on preference optimization and reward model design, yet it does not explain how these mecha
Foundation-model governance pathways: from preference models to operative rules
<p><span>Current research on foundation model alignment concentrates on preference optimization and reward model design, yet it does not explain how these mecha
Agustin V. Startari