generative ai

Eksploitasi Wajah Publik Figur oleh Platform AI sebagai Bentuk Unjust Enrichment: Telaah Yuridis dalam Sistem Hukum Indonesia

The commodification of public figures' faces within generative AI ecosystems raises a question Indonesian law has yet to answer: who holds entitlement to the economic value extracted from a person's likeness when platforms replicate and monetize it without meaningful consent. That gap frames an inquiry into the legal s...

Canonicity Without a Truth Monopolist: A Custodian Architecture for Long-Lived AI Ecosystems

Long-lived AI ecosystems need to preserve what was institutionally recognized, when, and under which authority, even after correction. This paper proposes a Custodian architecture for scoped canonicity without assigning a model ownership of truth. It separates record standing, contestation, handling, and attestation; p...

Misguided Corporate AI Promotion: How Shareholder-Oriented Storytelling Can Distort Technology Selection

This paper examines how corporate AI promotion can become detached from rational technology selection. Generative AI is valuable for tasks involving contextual understanding, translation, summarization, text generation, and ideation. However, many deterministic business processes may be better served by conventional pr...

Canonicity Without a Truth Monopolist: A Custodian Architecture for Long-Lived AI Ecosystems

Long-lived AI ecosystems need to preserve what was institutionally recognized, when, and under which authority, even after correction. This paper proposes a Custodian architecture for scoped canonicity without assigning a model ownership of truth. It separates record standing, contestation, handling, and attestation; p...

Exact Binary Projections for Array-RQMC: Joint Laws and Pathwise-Preserving Execution

Exact Binary Projections for Array-RQMC: Joint Laws and Pathwise-Preserving Execution Aoi Kawasaki. Preprint; not peer reviewed. Contribution For a specified two-dimensional Sobol net with linear matrix scrambling and a digital shift, the complete rank-ordered binary innovation vector is uniform over exactly N outcomes...

Abstraction-Indexed Canonicity: Bidirectional Compression, Generative Authority, and Meta-Axis Governance

Long-lived AI systems may treat records, organizing schemas, and higher-order generative constraints as canonical references in different roles. Abstraction-indexed canonicity makes official standing specific to scope, revision, and functional level; compression or expansion alone grants no new standing. Admission and...

A Review On: Artificial Intelligence in Preclinical and Clinical Trials

Challenges such as data quality, algorithmic bias, lack of transparency, privacy, cybersecurity, regulatory uncertainty and the need for human oversight remain important.

An Availability-Oriented, Multi-Provider Architecture for Generative AI Services: A Fault-Injection Case Study

Applications built on third-party Generative AI APIs inherit the unreliability of those APIs. Providers rate-limit requests, exhaust free-tier quotas, deprecate models, and return server errors, any of which can break a dependent application. This paper presents an availability-oriented architecture that does not depen...

Does the Language of the Prompt Change the Politics of the Answer? A Cross-Lingual Agent-Based Audit of Generative AI and Turkish Political Discourse

The Hidden Domestication of Probabilistic Fitting: The Individualization Fallacy and Extended‑Mark Cognitive Architecture

This preprint introduces the individualization fallacy, an original cognitive risk concept for generative large‑language models. Large models produce group‑averaged value narratives from massive corpora and mechanically apply statistical group conclusions onto unique individual real‑world situations. Ordinary cloud‑end...

Organic-based nanoparticles for theranostic uses

This review highlights recent advances in organic-based theranostic systems, including hybrid nanostructures, polymeric nanoparticles, lipid-based carriers, and carbon-based materials, which represent a promising direction for safer and more effective next-generation nanomedicine.

The Impact of Teacher-Facilitated Generative AI Lesson Plans in 6th-Grade Science on Collaborative Learning, Science Attitudes, and Academic Achievement

It is suggested that teacher-facilitated generative AI lesson planning can strengthen instructional design by enabling structured tasks, multimodal instructional resources, and teacher-mediated scaffolding, which together enhance both cognitive and affective learning outcomes.