Digital Governance Paper Notes

A curated archive of short, practitioner-oriented reviews covering AI governance, regulation, digital public infrastructure, digital identity, and adjacent socio-technical systems.

35 reviews indexed Repository Markdown index

Browse by Domain

AI Governance (12) AI Safety & Evaluation (4) Digital Public Infrastructure (5) Public Sector Digital Strategy (1) Digital Identity (1) Trust Infrastructure (1) Privacy & Data Protection (2) Cybersecurity & Resilience (1) Law, Regulation & Liability (5) Socio-technical Systems (2) State Capacity & Administrative Systems (1)

Date	Paper	Publication	Domain	Key Insight	Review
2026-03-18	Large-scale online deanonymization with LLMs	arXiv	Privacy & Data Protection	LLMs do not need to exceed human investigative capability to collapse pseudonymity at scale — they only need to reduce its cost, and that cost reduction is now sufficient to make large-scale deanonymization a routine, automatable threat.	Source
2026-03-17	Sandboxes for DPI: Co-creating the blocks of digital trust	Datasphere Initiative	Digital Public Infrastructure	The report’s most useful move is to treat sandboxes not as innovation theater, but as upstream governance capacity for testing trust, inclusion, interoperability, and institutional learning before DPI choices harden at population scale.	Source
2026-03-17	Distributed Legal Infrastructure for a Trustworthy Agentic Web	arXiv	Law, Regulation & Liability	The paper’s real contribution is not the rhetoric of agent personhood, but the claim that legality for agents must be infrastructural: identity, constraints, evidence, adjudication, and portability have to travel with the system rather than be bolted on after harm occurs.	Source
2026-03-17	AI Innovation, Effective Anonymization & the DPDP Act	Open Loop	Privacy & Data Protection	The report’s central insight is that India’s AI bottleneck is not merely lack of data, but lack of a usable legal-operational pathway for iterative model development, effective anonymization, and PET adoption under the DPDP regime.	Source
2026-03-14	What India’s Push for Global Digital Repositories Tells Us About Its Tech Diplomacy	Tech Policy Press	Digital Public Infrastructure	India’s repository diplomacy is best understood not as neutral knowledge-sharing, but as a low-commitment instrument for projecting leadership while preserving strategic flexibility in a fragmented technology order.	Source
2026-03-14	Open Problems in Technical AI Governance	Transactions on Machine Learning Research	AI Governance	The paper’s most durable contribution is showing that many AI governance debates are blocked not by lack of principles, but by missing technical capacities for assessment, access, verification, security, operationalisation, and ecosystem monitoring.	Source
2026-03-14	MASFactory: A Graph-centric Framework for Orchestrating LLM-Based Multi-Agent Systems with Vibe Graphing	arXiv	AI Safety & Evaluation	MASFactory’s real contribution is not that it makes multi-agent systems easier to build, but that it reframes orchestration as a reusable governance surface where topology, context access, and human intervention can be made explicit, inspectable, and testable.	Source
2026-03-14	Advancing Indigenous Foundation Models	White paper	AI Governance	The paper’s strongest move is treating indigenous foundation models as public-interest infrastructure, but it stops short of specifying the assurance, procurement, and lifecycle governance machinery needed to make that ambition operational.	Source
2026-03-12	Digital Identities Across the World	PwC / Strategy&	Digital Identity	Digital identity succeeds not when a credential exists, but when governance, interoperability, trust, and everyday service relevance are engineered together as public infrastructure.	Source
2026-03-10	Gene name errors: Lessons not learned	PLOS Computational Biology	Socio-technical Systems	A decade of documented warnings and nomenclature reforms have not reduced the rate of spreadsheet-induced gene name corruption in published genomics research, demonstrating that knowledge dissemination alone cannot change entrenched data practices — only structural interventions at the software, journal, and training levels can.	Source
2026-03-10	From Future of Work to Future of Workers: Addressing Asymptomatic AI Harms for Dignified Human-AI Interaction	arXiv	AI Governance	AI systems can improve visible performance while gradually eroding the human expertise, intuition, and professional agency needed to detect and correct system failures. Governance frameworks must therefore treat human capability retention as a safety objective.	Source
2026-03-09	Strategy for Artificial Intelligence in Healthcare for India (SAHI)	Ministry of Health and Family Welfare, Government of India	AI Governance	SAHI’s real significance is not that it celebrates AI in health, but that it tries to turn India’s health DPI into a governed deployment environment where risk tiering, interoperability, capacity, and procurement become the rails for responsible scale.	Source
2026-03-09	Doot: The AI Agent for Every Indian Citizen	DigiDoot / India AI Mission White Paper	Digital Public Infrastructure	The next layer of digital public infrastructure may be citizen-owned AI agents that mediate interaction between individuals and complex administrative systems.	Source
2026-03-09	Agents of Chaos	arXiv	AI Safety & Evaluation	The paper shows that once language models are wrapped in memory, tools, messaging, and delegated authority, the main governance problem is no longer just model error but insecure delegation across socio-technical systems.	Source
2026-03-07	The Artificial in ‘Artificial Intelligence’: How Imagination Shapes AI Regulation	SSRN	Law, Regulation & Liability	AI regulation is being shaped not only by technical architectures but by metaphors that silently define where risk, responsibility, and accountability are presumed to sit.	Source
2026-03-07	Evaluating AGENTS.md: Are Repository-Level Context Files Helpful for Coding Agents?	arXiv	AI Safety & Evaluation	Automatically generated repository context files often degrade coding-agent performance because they introduce additional constraints without improving task-relevant understanding.	Source
2026-03-07	Digital Governance Stacks and the Infrastructure of Empires	Bot Populi	Digital Public Infrastructure	Digital governance infrastructure is not merely technical plumbing; its architecture can shape sovereignty, administrative autonomy, and geopolitical influence.	Source
2026-03-07	Codified Context: Infrastructure for AI Agents in a Complex Codebase	arXiv	AI Governance	Persistent, machine-readable project context functions as a governance layer for AI coding agents, but the paper shows this through a single-project experience report rather than a comparative evaluation.	Source
2026-03-07	Business Perspectives on Advancing AI	Business at OECD	AI Governance	AI adoption policy debates increasingly hinge on balancing innovation incentives and regulatory coherence with stronger accountability and public-interest safeguards.	Source
2026-03-07	Advancing Open Source AI in India	Digital Futures Lab	AI Governance	The brief’s strongest contribution is showing that AI openness is not binary but component-specific, yet it remains more persuasive as policy architecture than as an operational governance framework for high-impact public deployments.	Source
2026-03-06	Towards an Open, Resilient, Non-Aligned AI	Geopolitique.eu	AI Governance	Sovereignty in AI is not a branding posture but an operational capability built through portability, audit rights, egress drills, and enforceable redress.	Source
2026-03-06	Toward Risk Thresholds for AI-Enabled Cyber Threats	UC Berkeley Center for Long-Term Cybersecurity	Cybersecurity & Resilience	Cyber-risk thresholds become real governance only when probabilistic assessment is tied to explicit baselines, trigger points, and mandatory actions.	Source
2026-03-06	The Mythology of Conscious AI	Noema Magazine	Socio-technical Systems	Myths about conscious AI distract from the immediate governance problem: non-conscious systems already exercise power at scale without clear accountability.	Source
2026-03-06	The Global Landscape of Environmental AI Regulation: From the Cost of Reasoning to a Right to Green AI	SSRN	Law, Regulation & Liability	Effective environmental governance of AI will require regulation to shift from facility-level reporting toward model-level transparency, especially around inference costs and reasoning-heavy systems.	Source
2026-03-06	Sovereignty in the Age of AI: Strategic Choices, Structural Dependencies and the Long Game Ahead	Tony Blair Institute for Global Change	AI Governance	AI sovereignty is credible only when countries can operationally exit, audit, and tier dependencies rather than merely rebrand lock-in as strategic autonomy.	Source
2026-03-06	International AI Safety Report 2026	International AI Safety Report	AI Safety & Evaluation	The central AI-safety challenge is not diagnosis but translating uncertainty into default actions, decision thresholds, and enforceable consequences.	Source
2026-03-06	Democratising AI: Towards Open, Decentralised AI Ecosystems	Observer Research Foundation	AI Governance	AI democratisation only becomes operational when \\"decentralisation\\" is broken into testable design choices, conformance rules, and incentives rather than treated as a feel-good umbrella term.	Source
2026-03-06	AI Regulatory Capability Framework and Self-Assessment Tool	The Alan Turing Institute	Law, Regulation & Liability	Regulatory capability has to be evidenced, infrastructure-backed, and tied to authority at runtime, otherwise self-assessment becomes polished theatre.	Source
2026-03-06	AI Maturity Framework for Public Administrations	UNESCO	Public Sector Digital Strategy	Public-sector AI maturity should be evidenced, risk-tiered, and vendor-aware, otherwise maturity models drift into self-assurance theatre.	Source
2026-03-06	AI Governance in South Asia	Centre for Responsible AI, IIT Madras	Law, Regulation & Liability	South Asia’s pragmatic AI governance path will only become credible when soft-law coordination is backed by enforceable controls, sovereign infrastructure choices, and real labour protections.	Source
2026-03-05	The Stack and the State: India’s Digital Governance Model as Technopolitical Power	Information Polity (IPP Journal)	State Capacity & Administrative Systems	DPI’s \\"power effects\\" are not vibes—they come from specific architectural and operational control points, so serious critique needs measurable indicators and design-level mappings.	Source
2026-03-05	Exhaustibility Is Not an Optimization. It Is a First-Class Invariant	Medium (Paul Knowles)	Trust Infrastructure	For agentic systems, governance must shift from persistent identity-based permission to action-bound, exhaustible authority that produces verifiable provenance at the moment an effect occurs.	Source
2026-03-05	DPI-AI Framework: Vision paper on Building AI-Ready Nations through Digital Public Infrastructure	Centre for Digital Public Infrastructure (CDPI)	Digital Public Infrastructure	Treat AI as modular infrastructure, but make legitimacy modular too: risk-tier workflows with signed, bounded, revocable authority and built-in redress.	Source
2026-03-05	Build vs Buy in the Age of LLMs	arXiv	AI Governance	The build-vs-buy question is really a sovereignty dial: governments should optimize for control of data, risk, and upgrade paths—not for a romantic preference for in-house models.	Source
2026-03-05	AI Agents and the Next Layer of India's Digital Infrastructure	Tech Policy Press	AI Governance	At population scale, an \\"agent layer\\" only becomes governance-grade when delegation is cryptographically bounded, discoverable, and revocable—otherwise you just automated intermediaries and fraud.	Source