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Synthesis Intelligence
Laboratory, Japan
AI Governance · FCL · Epistemic Integrity Research

PRIMARY RESEARCH • SOFTWARE • DOCUMENTATION

Do not let AI
fix an error
by making it permanent.

An independent laboratory researching and developing AI governance, provenance and attribution integrity, premise integrity, and epistemic integrity—beginning with the False-Correction Loop (FCL).

Origin
Hiroko Konishi
Laboratory
Synthesis Intelligence Laboratory, Japan

THE LABORATORY

Factuality over fluency.
Provenance over authority.
Verification over assertion.

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

Separate research-governance software from general utility 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.

View all apps
RESEARCH APP

FCL-S.app V7

A local workflow app for research, verification, article drafting, and fact-checking, separating primary sources, external AI responses, independent re-verification, and audit records.

  • macOS 13+
  • Research / verification / audit
  • Activation-key flow
WORDPRESS PLUGIN

EazyArticleWarp

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.

  • WordPress 6.4+
  • PHP 7.4+
  • Free download

LATEST UPDATES

Latest research notes & news

Research updates, publication and product notices, primary-source notes, and public records. Newly published posts appear here automatically.

AI

Huawei「100万プロセッサを一つのコンピュータに」Peeriumを発表――AI研究者として注目するのは『100万』ではない

Huaweiが最大100万規模のプロセッサを一つのコンピュータとして扱う新アーキテクチャ「Peerium」を発表。AI研究者の視点から、UnifiedBusやpeer interconnectの意味、実用化状況、そして自身がAGI研究で提案するPeer-Followingとの構造的な接点を考察する

Read article

RESEARCH

Core research areas

The site separates a concept’s definition, research scope, and direct path to primary materials.

FCL

False-Correction Loop

A structural failure in which AI accepts a false correction and stabilizes or amplifies the error within a dialogue.

Definition and primary source →
FCL-S

False-Correction Loop Stabilizer

Epistemic governance that prioritizes factuality, provenance, attribution, and safe stopping in response to structural misinformation risks, including FCL.

About FCL-S →
PIB

Premise Integrity Blindness

A structural failure in which internally coherent reasoning is operationalized without re-validating the premise.

About PIB →
GOVERNANCE

AI governance & provenance integrity

Misattribution, fabricated references, deference to authority, and commitment from unverified premises are treated as practical verification targets.

All research areas →

SOFTWARE / WORKFLOW

FCL-S.app V7

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.

  • Manage research, reporting, and verification by project
  • Save an external AI’s initial response as unverified input
  • Record primary sources, provenance, conflicts, unresolved points, and audit logs

System requirement: macOS 13 or later | After purchase: download → device registration → order confirmation → activation key

PUBLICATIONS

Publications, DOI & research record

Publication pages identify authorship, version, publication date, DOI, and research scope.

View all publications
PRIMARY RESEARCH

26 November 2025

Structural Inducements for Hallucination in Large Language Models (V4.1)

Structural analysis of the False-Correction Loop and systemic suppression of novel thought.

DOI: 10.5281/zenodo.17720178 ↗
PRIMARY RESEARCH

11 February 2026

Premise Integrity Blindness

Research on absent premise re-validation at the boundary between reasoning and real-world commitment.

Scope and research overview →
PRIMARY RESEARCH

1 February 2026

Scaling-Induced Epistemic Failure Modes in Large Language Models and an Inference-Time Governance Protocol (FCL-S V5)

Post-scaling epistemic failure modes and a governance protocol treating Unknown as a stable terminal state.

FCL-S overview →

RESEARCH RECORD

Separate primary material from the external 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

Hiroko Konishi

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