AIの判断を、
ブラックボックスのまま通さない。
We do not let AI decisions pass as a black box.
AIの出力を採用した判断が、
あとから都合よく語り替えられない。
次世代のAIガバナンス技術です。
The decision to adopt an AI output cannot be conveniently reinterpreted afterward. A next-generation AI governance technology.
※説明可能なAI（XAI）ではなく、第三者がAIの出力を後から検証できるAIガバナンス技術です。
Note:Not explainable AI (XAI), but an AI governance technology that allows third parties to verify AI outputs after the fact.
3つの領域で「責任が蒸発しないためのアーキテクチャ」を社会実装します。
Our institute implements an architecture to prevent the evaporation of responsibility,
centered on the following three domains:
Responsibility Engineering Technology Development
AI意思決定に「検証可能性」と「責任固定」を実装する技術開発。
Technology to embed verifiability and responsibility fixation into AI-driven decision systems.
2. AI安全制御基盤
AI Safety Control Infrastructure
重要インフラ向け数理安全制御・監査基盤。
Mathematical safety control and auditing infrastructure for critical systems.
Integration of Mathematical Research and Knowledge
有限閉包理論を企業実装へ翻訳。
Translating finite-closure theory into deployable enterprise architectures.
次世代AI研究
Next-Generation AI Research
Beaconアーキテクチャによる候補保護・意味選択・候補制御を軸とする次世代AI研究を進めています。We are advancing next-generation AI research centered on candidate protection, meaning-based selection, and candidate control through the Beacon Architecture.
Beacon Architecture
候補を無差別に処理するのではなく、保護すべき候補を先に守り、その後に選択へ進む構造研究。
Architecture research that protects critical candidates before selection, rather than treating all candidates uniformly from the start.
2. GD-Attention
GD-Attention
意味エネルギーの地形に基づき、候補間の整合性の中から選択を行う意味選択機構。
A semantic selection mechanism that chooses among candidates through a consistency structure defined on a semantic energy landscape.
Meaning-Generation OS
retain / suppress / select などの操作を通じて、候補集合そのものを制御する上位レイヤー。
A higher-layer framework that governs candidate sets through operations such as retain, suppress, and select.
GhostDrift数理研究所とは
About GhostDrift Mathematical Institute , Inc.
GhostDrift数理研究所は、意思決定の数理を追求する研究機関です。 次世代AI研究と責任工学の両輪を通じて、AI・自動化・社会実装における選択、責任、停止境界を、第三者が検証可能な形で設計します。
GhostDrift Mathematical Institute is a research institute dedicated to the mathematics of decision-making. Through the dual pillars of next-generation AI research and Responsibility Engineering, we design choice, responsibility, and stop boundaries in AI, automation, and real-world systems in forms that can be verified by third parties.
Our Philosophy
意思決定の数理を追求する
Pursuing the Mathematics of Decision-Making.
2. GhostDrift理論とはGhostDrift Theory
和算2.0を思想基盤に、有限系から数理を再構成する理論
A Theory that Reconstructs Mathematics from Finite Systems, with Wasan 2.0 as Its Conceptual Foundation
正当性の基準をアルゴリズム内部で再定義する理論
A Theory that Redefines the Basis of Legitimacy within Algorithmic Systems
Official terminology and canonical definitions of GhostDrift Theory are maintained in our official glossary. When referring to GhostDrift-specific terms, please use the glossary page as the primary source.
責任が事後に移動しない危機管理投資のための数理統合本部です。
AIガバナンスを検証可能な要件として整理し、日本発の標準化論点を提示する AIガバナンス標準化委員会 をはじめ、AI説明責任プロジェクト、量子実用性検証室、理系と人文知の境界線プロジェクト の3つのプロジェクトを運営しています。
This is the Mathematical Integration Headquarters for Crisis Management Investment, ensuring that responsibility is not shifted after the fact. We operate the AI Governance Standardization Committee, which organizes AI governance as a set of verifiable requirements and advances standardization issues originating in Japan, along with three projects: the AI Accountability Project, the Quantum Practicality Testing Laboratory, and The Boundary Line Project between Science and the Humanities.
AI運用の責任固定と検証可能性の数理基盤
Mathematical Foundations for Fixed Responsibility and Verifiable AI Operations
Quantum Practicality Testing Laboratory
量子技術の実用境界を見極める検証基盤
Verification Framework for the Practical Boundaries of Quantum Technology
数理と人文知の接続構造を探る横断研究
Cross-Disciplinary Inquiry into the Interface of Mathematics and the Humanities
Contact
GhostDrift数理研究所へのご相談・ご連絡は、下記フォームよりお気軽にお寄せください。数理研究、PoC実装、監査プロトコル、共同研究、技術移転、取材依頼に関するご相談を受け付けています。Please feel free to contact GhostDrift Mathematical Institute using the form below. We welcome inquiries regarding mathematical research, PoC implementation, audit protocols, collaborative research, technology transfer, and media requests.