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The Dynamic Markovian Peace and Diplomacy Act, 2025 (DMPDA): A Sovereign-Grade Legislative and Governance Framework for AI-Enabled Peacebuilding, Ethical Diplomacy, Predictive Statecraft, and Strategic Conflict Prevention

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Zenodo Description (Final Ultimate Edition) Title:The Dynamic Markovian Peace and Diplomacy Act, 2025 (DMPDA)A Sovereign-Grade Model Legislative and Governance Framework for AI-Enabled Peacebuilding, Ethical Diplomacy, and Predictive Digital Statecraft Author:Dr. B. Mazumdar, D.Sc. (Hon.), D.Litt. (Hon.)Independent Researcher–ScholarAI Governance · International Law · Cybersecurity · Post-Quantum Cryptography · Digital StatecraftFounder — FAIR + D CanonIndia (2025) DOI: 10.5281/zenodo.17038380ORCID: 0009-0007-5615-3558 Description The Dynamic Markovian Peace and Diplomacy Act, 2025 (DMPDA) is a sovereign-grade, audit-defensible, and jurisdiction-neutral model legislative framework designed to guide the responsible integration of artificial intelligence, probabilistic analysis, and predictive systems into diplomacy, peacebuilding, and conflict-prevention processes. The framework introduces a legally governed Dynamic Diplomatic System (DDS) supported by Markovian and stochastic modelling techniques to enhance early-warning detection, escalation-risk assessment, and scenario-based diplomatic analysis. Crucially, all analytical outputs are strictly advisory, non-binding, and embedded within a human-in-the-loop governance architecture, ensuring that human judgment, democratic accountability, and lawful authority remain paramount at all times. DMPDA is not an operational or military instrument. It explicitly prohibits autonomous decision-making, coercive use, or automation of force, and instead positions advanced analytics as decision-support tools operating under rigorous legal, ethical, and institutional constraints. The framework is purpose-built to prevent misuse, opacity, or over-reliance on automated systems in sensitive diplomatic and geopolitical contexts. Core Features Sovereign-Grade Legislative DesignDrafted as a model statute suitable for adaptation or enactment by national legislatures and multilateral institutions. Human-Centric & Rights-Preserving ArchitectureMandatory human oversight, explainability, proportionality, and accountability at every critical stage. Advanced Predictive Governance (Without Determinism)Use of Markovian state-transition analysis and probabilistic modelling that explicitly incorporates uncertainty, confidence intervals, and methodological limitations. Robust Ethical & Legal SafeguardsIndependent ethics bodies, auditability, judicial review pathways, grievance redress mechanisms, and transparency reporting. Data Governance & Cybersecurity by DesignGDPR-level privacy protection, purpose limitation, data minimization, zero-trust security architecture, and post-quantum cryptographic readiness. International Law & Global Standards AlignmentFully aligned with the UN Charter, international human rights law, OECD AI Principles, and relevant ISO/IEC cybersecurity standards. Global AdaptabilityJurisdiction-neutral, modular, and suitable for national, regional, or multilateral adoption without compromising sovereignty or constitutional order. Intended Use This publication functions simultaneously as: a model legislative reference for states and parliaments, a policy and institutional blueprint for executive authorities and multilateral organizations (including UN-affiliated bodies), and an advanced scholarly contribution to global discourse on AI governance, peacebuilding, and digital statecraft. It is intended for parliamentary deliberation, institutional design, strategic policy analysis, and advanced academic research. Legal & Institutional Note This document is published as an independent scholarly and policy framework.It does not carry binding legal force unless formally adopted or enacted by a competent authority. All responsibility for interpretation and implementation rests with the adopting institution. Version & Archival Integrity This Zenodo record corresponds to the Final Ultimate Edition (Audit-Defensible Master Version).Any future revisions, adaptations, or derivative instruments shall be issued under separate version identifiers to preserve citation clarity and archival integrity. Keywords Artificial Intelligence Governance · Predictive Diplomacy · Markovian Modelling · Peacebuilding · Conflict Prevention · Ethical AI · Digital Statecraft · International Law · Cybersecurity · Post-Quantum Cryptography · Human-in-the-Loop Systems · Global Governance

Zenodo 数据集说明(终极定稿版) # 标题:2025年动态马尔可夫和平与外交法案(Dynamic Markovian Peace and Diplomacy Act, 2025,简称DMPDA):面向人工智能赋能和平建设、伦理外交与预测性数字治国的主权级标准立法与治理框架 ## 作者:B·马祖姆达尔博士,荣誉理学博士、荣誉文学博士 独立研究者——学者 研究领域:人工智能治理、国际法、网络安全、后量子密码学、数字治国 FAIR + D Canon 创始人(2025年,印度) DOI: 10.5281/zenodo.17038380 ORCID: 0009-0007-5615-3558 ## 数据集说明 2025年动态马尔可夫和平与外交法案(Dynamic Markovian Peace and Diplomacy Act, 2025,简称DMPDA)是一套主权级、可审计且司法辖区中立的标准立法框架,旨在推动人工智能、概率分析与预测系统在外交、和平建设与冲突预防流程中的负责任落地应用。 本框架引入了受法律约束的动态外交系统(Dynamic Diplomatic System,简称DDS),依托马尔可夫(Markovian)与随机建模技术,以提升预警探测、升级风险评估与基于场景的外交分析能力。至关重要的是,所有分析输出均为严格的咨询性、无约束力内容,并嵌入人在回路(human-in-the-loop)治理架构中,确保人类判断、民主问责与合法权威始终处于核心地位。 DMPDA并非作战或军事工具。其明确禁止自主决策、强制使用或武力自动化,而是将高级分析定位为在严格法律、伦理与制度约束下运行的决策支持工具。本框架专为防范敏感外交与地缘政治场景中出现的滥用、不透明或过度依赖自动化系统的问题而设计。 ## 核心特征 1. **主权级立法设计**:以示范法案形式起草,可供各国议会与多边机构改编或正式颁布。 2. **以人为本且保障权利的架构**:在所有关键阶段强制要求人类监督、可解释性、比例原则与问责机制。 3. **高级预测性治理(非确定性)**:采用马尔可夫状态转移分析与概率建模,明确纳入不确定性、置信区间与方法局限性。 4. **完善的伦理与法律保障**:设立独立伦理机构、可审计性、司法审查路径、申诉救济机制与透明度报告制度。 5. **内置数据治理与网络安全机制**:达到GDPR标准的隐私保护、目的限制、数据最小化、零信任安全架构与后量子密码学适配能力。 6. **符合国际法与全球标准**:完全符合《联合国宪章》、国际人权法、经合组织人工智能原则及相关ISO/IEC网络安全标准。 7. **全球适配性**:司法辖区中立、模块化设计,可在不损害国家主权或宪法秩序的前提下供各国、各区域或多边机构采用。 ## 预期用途 本出版物同时兼具三重功能: - 供各国与议会参考的示范立法文本; - 供行政部门与多边组织(含联合国附属机构)使用的政策与制度蓝图; - 为全球人工智能治理、和平建设与数字治国领域的学术讨论提供前沿学术成果。 本框架适用于议会审议、制度设计、战略政策分析与前沿学术研究。 ## 法律与制度说明 本文件作为独立学术与政策框架发布。除非经主管机构正式采纳或颁布,否则不具有法律约束力。所有解释与实施责任均由采纳该框架的机构承担。 ## 版本与档案完整性 本Zenodo记录对应终极定稿版(可审计主版本)。未来所有修订、改编或衍生成果均将使用独立的版本标识发布,以确保引用清晰性与档案完整性。 ## 关键词 人工智能治理、预测性外交、马尔可夫建模、和平建设、冲突预防、伦理人工智能、数字治国、国际法、网络安全、后量子密码学、人在回路系统、全球治理

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2025-12-20
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