Sovereign AI for Supply Chain Due Diligence: A Standardized Compliance Framework for the German LkSG
サプライチェーン・デューデリジェンスのための Sovereign AI：ドイツLkSG準拠の標準化コンプライアンス・フレームワーク (AI 翻訳)
Meziouni, Reda
🤖 gxceed AI 要約
日本語
ドイツLkSGに準拠したサプライチェーン・デューデリジェンスのための、主権的AI駆動コンプライアンス・フレームワークを提案。WBCSD PACTプロトコルを拡張した標準JSONスキーマ、決定論的ルールエンジン、オフラインで動作するMistral 7BによるAIナラティブ層、FastAPI監査証跡を4層のマイクロサービスとして設計。3つのサプライヤーリスクプロファイルで検証し、DHL等の実務家8名との協議で洗練。コンプライアンスコスト削減、データ主権、労働者保護、グリーン水素認証の強化に貢献する。
English
This thesis proposes a sovereign AI-driven compliance framework for supply chain due diligence under the German LkSG. It extends the WBCSD PACT protocol with a standardized JSON schema, a deterministic rule engine, an offline Mistral 7B narrative layer, and a FastAPI audit trail, designed as a four-layer headless microservice. Validated through technical testing on three supplier risk profiles and refined with eight industry practitioners from DHL and others, it reduces compliance costs, enhances data sovereignty, improves worker protection, and enforces green hydrogen certifications.
Unofficial AI-generated summary based on the public title and abstract. Not an official translation.
📝 gxceed 編集解説 — Why this matters
日本のGX文脈において
日本では2025年から段階適用される「責任あるサプライチェーン等における人権尊重のためのガイドライン」や、今後想定される人権デューデリジェンス法制化を見据え、本フレームワークの標準化・監査可能性・データ主権の考え方は、日本企業のサプライチェーン管理やSSBJ開示対応にも示唆を与える。特に、AI活用と人間による最終判断の組み合わせは、日本の実務に応用可能。
In the global GX context
Globally, this work addresses the fragmentation in supply chain due diligence compliance, offering a sovereign, transparent alternative to centralized ESG platforms. It extends the WBCSD PACT protocol, a key standard for Scope 3 data exchange, and aligns with the EU CSDDD and other emerging due diligence regulations. The human-in-the-loop AI approach and immutable audit trails are relevant for regulators and companies seeking legally defensible compliance.
👥 読者別の含意
🔬研究者:Provides a novel HRDD data model extension for WBCSD PACT and a DSR-based framework for sovereign AI in compliance.
🏢実務担当者:Offers a concrete, open-source-style framework for automating LkSG compliance with data sovereignty and auditability.
🏛政策担当者:Demonstrates how sovereign AI can support due diligence enforcement while addressing data privacy and sovereignty concerns.
📄 Abstract（原文）
Background & Context The German Supply Chain Due Diligence Act (Lieferkettensorgfaltspflichtengesetz, LkSG), in force since January 2023, obligates companies with 1,000 or more employees to identify, prevent, and mitigate human rights and environmental risks across their supply chains. The Problem Despite this clear regulatory mandate, the industry's approach to compliance remains fragmented: Suppliers report data in inconsistent formats. Risk scores are calculated through manual and unreproducible processes. Dominant ESG platforms create data sovereignty risks through centralised, cloud-based architectures. Methodology & Solution This thesis addresses these challenges by designing, building, and validating a sovereign AI-driven compliance framework tailored for the renewable energy and green hydrogen sector. Following the Design Science Research (DSR) methodology (Peffers et al., 2007), the proposed framework operates as a four-layer headless microservice: Standardised JSON Schema: Extends the WBCSD PACT protocol with LkSG §4–§10 compliance data. Deterministic Rule Engine: Produces transparent, reproducible risk scores. Sovereign AI Narrative Layer: Utilizes Mistral 7B running entirely offline via Ollama to ensure data privacy. FastAPI Audit Trail: Generates immutable, legally defensible assessment artifacts. To ensure reliability, a hallucination guard and human-in-the-loop mechanism guarantee that the AI remains assistive while human compliance officers retain ultimate decision-making authority. Validation & Impact The framework was validated through rigorous technical testing across three distinct supplier risk profiles. It was further refined through structured consultations with eight industry practitioners from DHL, DHL Supply Chain, DHL IT Services, and other key organisations. A stakeholder impact analysis demonstrates significant value creation across multiple dimensions: Economic: Compliance cost reduction. Political: Enhanced data sovereignty. Social: Improved worker protection. Environmental: Enforcement of Green Hydrogen certifications. Key Contributions This thesis contributes the first open human rights due diligence (HRDD) data model extension for the WBCSD PACT ecosystem. Ultimately, it offers a sovereign, transparent, and extensible alternative to traditional, centralised ESG compliance platforms. Keywords: LkSG, supply chain due diligence, sovereign AI, WBCSD PACT, JSON Schema, Green Hydrogen, compliance automation, human-in-the-loop, Design Science Research
🔗 Provenance — このレコードを発見したソース
- Zenodo https://zenodo.org/records/20430699first seen 2026-05-29 04:12:47 · last seen 2026-06-11 04:26:55
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