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This preprint book presents a unified governance framework for generative and agentic AI, integrating technology, law, economics, and security lenses across eleven chapters with a proposed governance control plane design for 2030, anchored in Indian law with comparative cross-jurisdictional perspectives.
Mozilla 推出 Firefox Enterprise，为企业和政府机构提供基于独立 Gecko 引擎的浏览器及可自托管的管理控制台，帮助机构加强对浏览器策略、数据流动和 AI 使用的控制，减少对少数技术供应商的依赖。
Mozilla 推出 Firefox Enterprise，主打隐私、自主与可控的企业浏览器方案，支持本地部署、集中策略管理、原生 DLP、AI 工具管控、SIEM 集成与 Lockdown Mode，并预告 Thunderbird Enterprise 与专业支持服务。
A U.S. Executive Order directs agencies to replace "AI" with "Super Intelligence" in official communications, and NIST is migrating its public terminology accordingly — raising provenance and evidence-intelligence concerns about distinguishing name changes from substantive changes in source authority.
A developer building an AI personal assistant asks how others handle PII that must be shared with LLMs to be useful (location, school info) without leaking sensitive personal data, weighing privacy governance against convenience.
The article presents an architectural mediation approach using the Model Context Protocol to enable controlled interactions between LLM agents and data spaces, ensuring compliance with governance and interoperability standards.
This article discusses the actual state of FDEs (Frontline Deployment Engineers) in China's AI sector, highlighting risks in project acquisition, data governance challenges, and business model issues. It stresses the importance of rationalizing industry identity and adopting a more practical approach.
The article argues that in enterprise AI, the AI model is often the easiest part, with greater challenges in data trust, governance, and workflow integration, especially in regulated industries like healthcare.
This paper proposes an additive profile for Croissant to evaluate data use conditions, enabling automated compliance checking for ML datasets with a decision procedure that records what was checked.
This article provides a comprehensive guide from concept to implementation for enterprise AI knowledge bases, emphasizing the importance of data governance, access control, testing, and validation, and includes an implementation checklist.
James Luan reflects on the evolution of vector databases from early similarity-search systems to critical infrastructure for production AI, emphasizing their expanding role in RAG and agent-based systems.
The paper introduces GROUND, a governed semantic-retrieval framework that constrains LLM-generated analytics to approved business definitions, effectively reducing hallucinations in enterprise data analysis while ensuring compliance with security and data policies.
UNESCO's Recommendation on the Ethics of Artificial Intelligence outlines core principles like transparency and fairness, with policy action areas to guide AI implementation in sectors such as data governance and health.
This paper formalizes the concept of spec-delta for data governance in lakehouse platforms and presents an empirical study comparing spec-delta-driven workflows to traditional code-based approaches.
Gregory Kurtzer, founder of Rocky Linux, announces OpenWALDO, a project aimed at opening up AI training data to foster true open-source AI development.
The article argues that AI agent safety focuses too much on instruction-following and not enough on data access governance, highlighting the Agentic Data Protocol as an early effort to put policy in infrastructure.
Enterprise AI often underestimates the work behind data operations, from labeling to governance, which is critical for scaling.
This thread explains why AI security requires infrastructure-layer controls (IAM, VPC, encryption, logging) beyond application-layer prompt filtering, using AWS services as an example.
A study graded 205 AI apps on their data governance practices, finding that over half received a D or F grade, with many apps not disclosing whether user input trains their models.
A report that Microsoft allegedly shared Dutch civil servants' emails with the U.S. House triggers renewed calls for digital sovereignty, highlighting the gap between data residency and actual legal control.