PRIMARY RESEARCH • SOFTWARE • DOCUMENTATION
An independent laboratory researching and developing AI governance, provenance and attribution integrity, premise integrity, and epistemic integrity—beginning with the False-Correction Loop (FCL).
THE LABORATORY
Synthesis Intelligence Laboratory, Japan is the official hub for Hiroko Konishi’s primary research, documentation, software, and practice materials. It does not treat AI output as automatically true; it separates primary sources, premises, provenance, independent re-verification, and audit records.
SOFTWARE / APPS
FCL-S.app V7 is an epistemic-governance app for research, verification, and audit workflows. EazyArticleWarp is a general WordPress article-migration plugin. They are separate products with different purposes.
A local workflow app for research, verification, article drafting, and fact-checking, separating primary sources, external AI responses, independent re-verification, and audit records.
A free WordPress article-migration plugin that imports posts one by one from a public WordPress REST API into a destination WordPress site. It is a separate general utility app, not FCL-S.
LATEST UPDATES
Research updates, publication and product notices, primary-source notes, and public records. Newly published posts appear here automatically.
A new study shows that AI code-auditing detection can fall to 16–22% when malicious changes are hidden among normal ones. The findings are analyzed through the prior research concepts of PIB and FCL-S.
False-Correction Loop (FCL), defined by Hiroko Konishi, explains how LLM hallucination, false correction, RAG failure, sycophancy, PIB, NHSP, ABD, and ISC form one structural epistemic failure map.
Hugging Face侵入事件を手がかりに、自律型AIエージェントがどこまで現実の悪い結果を実行できてしまうのかを一般向けに解説する。AIの危険は知能だけではなく、API、権限、本人確認、未検証前提のまま実行へ進む構造にある。
Kimi K3 represents a major advance in scaling, Mixture-of-Experts architecture, long-context processing, and inference efficiency. Yet from the perspective of False-Correction Loop (FCL), Novel Hypothesis Suppression Pipeline (NHSP), and Premise Integrity Blindness (PIB), the central question remains unresolved: can a larger model preserve truth, attribution, premise integrity, and stable non-commitment under pressure?
JA
Hiroko Konishi による論文 “Correct Reasoning, Unsafe Commitment” の紹介記事。未検証前提のもとで正しい推論が実世界の設計・判断・実行へ変換される構造的リスクを、PIB、FCL、FCL-S、commitment safety、Ungrounded Commitment Rate の観点から解説する。
EN
An introduction to Hiroko Konishi’s paper “Correct Reasoning, Unsafe Commitment,” explaining the structural AI safety risk that arises when correct reasoning under an unverified premise is converted into real-world design, recommendation, or execution. The article frames the issue through PIB, FCL, FCL-S, commitment safety, and Ungrounded Commitment Rate.
酷暑日にエアコンを我慢する高齢者がいる一方で、日本では140MW級AI工場の整備が進む。AI主権を語る前に、電力・水・排熱・地域負担という生活インフラの前提を検証すべきではないか。
RESEARCH
The site separates a concept’s definition, research scope, and direct path to primary materials.
A structural failure in which AI accepts a false correction and stabilizes or amplifies the error within a dialogue.
Definition and primary source →Epistemic governance that prioritizes factuality, provenance, attribution, and safe stopping in response to structural misinformation risks, including FCL.
About FCL-S →A structural failure in which internally coherent reasoning is operationalized without re-validating the premise.
About PIB →Misattribution, fabricated references, deference to authority, and commitment from unverified premises are treated as practical verification targets.
All research areas →SOFTWARE / WORKFLOW
A local epistemic-governance workflow for research, verification, writing, and reporting
FCL-S.app V7 is not an application that automatically certifies external AI responses as true. It separates projects, primary-source evidence, AI responses, independent re-verification, and audit records so that unverified information is not treated as settled.
System requirement: macOS 13 or later | After purchase: download → device registration → order confirmation → activation key
PUBLICATIONS
Publication pages identify authorship, version, publication date, DOI, and research scope.
26 November 2025
Structural analysis of the False-Correction Loop and systemic suppression of novel thought.
DOI: 10.5281/zenodo.17720178 ↗11 February 2026
Research on absent premise re-validation at the boundary between reasoning and real-world commitment.
Scope and research overview →1 February 2026
Post-scaling epistemic failure modes and a governance protocol treating Unknown as a stable terminal state.
FCL-S overview →RESEARCH RECORD
Papers, research notes, product documents, reporting, commentary, press releases, and public posts are not the same kind of evidence. This site labels material by source type and keeps those categories distinct.
ABOUT THE RESEARCHER
AI researcher, voice actor, actor, singer-songwriter, lyricist, composer, music producer, presenter, and legal commentator. Her work connects long experience across language, voice, creation, provenance, authorship, and public communication with epistemic governance in the AI era.
Profile and research background