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25 results for "AI Governance"
Cyara Launches Agentic Testing and AI Governance to Close the AI Trust Gap in Customer Service - CX Today
<a href="https://news.google.com/rss/articles/CBMi4AFBVV95cUxPSzlLRWZjZVlXRzZjVWlLa1l2MWNCNTlXcHVEM2l6eENnZ0pqR28yR2FyNU1Ubk85VEQ2cS13bWFqZ3ZTWHdDTVBUdEJLV0E4dkwwR1FBZjRlTUxkbEphdHNIdndSWkE1TkJxS0NMYzRLeUdXZG4zTmpjcGtmdWhvc2tQNkhCN1BGMkRCTE5kSXgwd19zbWlIQzA4ZC1pOHluc3ZuRGowRnlBZ0cwUUxqNWF3aWJlX1NwWGFBLThKN05LRDR5Wko3VjFQNGFNc0ZlRWpwZnRwZ0Q5WTF4Y3Aycg?oc=5" target="_blank">Cyara Launches Agentic Testing and AI Governance to Close the AI Trust Gap in Customer Service</a> <font color="#6f6f6f">CX Today</font>
A federated architecture for sector-led AI governance: lessons from India
arXiv:2603.26865v1 Announce Type: cross Abstract: Purpose: India has adopted a vertical, sector-led AI governance strategy. While promoting innovation, such a light-touch approach risks policy fragmentation. This paper aims to propose a cohesive "whole-of-government" architecture to mitigate these risks and connect policy goals with a practical implementation plan. Design/methodology/approach: The paper applies an established five-layer conceptual framework to the Indian context. First, it constructs a national architecture for overall governance. Second, it uses a detailed case study on AI in — Avinash Agarwal, Manisha J. Nene
School Districts Prioritize AI Governance, Not Adoption Speed - GovTech
<a href="https://news.google.com/rss/articles/CBMioAFBVV95cUxNQzFYdEJGUnQwQVF3YkR0dm9UdVVDd0RDV3lNWkFpQlFEUEV0b0VUZ0IwejBmN21LeDRoR0hJejNlMHVZVHVwNTg5eTY5cHdCN0VzZFRpanF3TXdxMDVNV3JQc3dlTF92T0NSZzk2V2JHU0dLY1Ftb043MW5ZcU03bVlHYW5iZVdUR0x2Q0tMMWQ4RFk4RWVzOGdzOEdEakJn?oc=5" target="_blank">School Districts Prioritize AI Governance, Not Adoption Speed</a> <font color="#6f6f6f">GovTech</font>
FTI Consulting Expands Data Privacy, AI Governance Expertise in Australia - GlobeNewswire
<a href="https://news.google.com/rss/articles/CBMi4gFBVV95cUxPXy1YU2FxSEs4UGdCNnRFNi1fRkV0ZU51am9XRl9ta25iZEx1YU1sajZXLVRoNzVseVNPVU5NS3JGTzZIRnh3ZHJTcXdESWlhWlR2UE9qZHVIbk15MTRXMk8ta0hmeV8xdGhlQ1FQQjNLLW9jbUhmenNfLXZyWWJqendfanVWa3hWOGxIWEtMUUl1WG10ODBTazkzYVBBLXRFZHVfYklRNFRnYmFGdnJiY1F5dlJJeWpSNGRvcjk0SVhtelNES01HOEdkSmlWdmVpbzlmTnU0dS1KNDhtem9HeXNR?oc=5" target="_blank">FTI Consulting Expands Data Privacy, AI Governance Expertise in Australia</a> <font color="#6f6f6f">GlobeNewswire</font>
Article: Architecting Autonomy at Scale: Raising Teams without Creating Dependencies
<img src="https://res.infoq.com/articles/architecting-autonomy-scale/en/headerimage/architecting-autonomy-scale-header-1774360140662.jpg"/><p>Modern engineering needs a shift from "gates" to "guardrails." Scale via decentralized architecture that treats teams like adults—building judgment through Socratic coaching, shared platforms, and automated drift detection. Move beyond bottlenecks to an interdependent model where AI governance and ADRs preserve context without killing velocity. Empower autonomy while maintaining alignment.</p> <i>By Shweta Aggarwal, Ron Klein</i>
AI Governance Is No Longer a Checkbox It's Your Next Competitive Edge
The regulatory landscape for AI has never been more complex. The EU AI Act is now in active enforcement for high-risk AI systems. Data privacy regulators across the US, EU, and Asia Pacific are issuing AI-specific guidance. Read All
CDT Europe’s AI Bulletin: March 2026
March brought major developments in Europe’s AI policy landscape, with policymakers advancing positions on the AI Omnibus, copyright in the age of generative AI, and new rules on AI-generated content. From trilogue preparations to fresh consultations, CDT Europe’s March AI Bulletin keeps you up to speed on the latest EU AI governance developments. AI Omnibus: […] The post CDT Europe’s AI Bulletin: March 2026 appeared first on Center for Democracy and Technology .
Speculative institutional grammars: rethinking the limits of participatory AI
Participatory AI governance assumes that deliberation among diverse stakeholders can shape regulatory design. In practice, deliberative input affects governance only when it can be articulated as an institutional rule. This article examines the linguistic conditions under which normative claims acquire this form. Drawing on Crawford and Ostrom’s ADICO framework, Institutional Grammar is often treated as a neutral analytic tool, but it effectively defines the syntactic structure through which obligations become institutionally legible. Within this framework, a rule attributes responsibility to a defined actor (Attribute), encodes a deontic operator (must, may, must not), specifies an action (Aim), and defines the conditions under which the action applies (Condition), potentially accompanied
Data-centric AI governance for responsible organizational value: evidence from a European public administration
This paper explores how data-centric artificial intelligence governance frameworks enable responsible organizational value creation within complex institutional environments. Using an empirical case from a European public administration, it examines the implementation of an automated legislative monitoring system designed to detect, classify, and summarize regulatory information. The study highlights the shift from model-centric experimentation to a mature data governance and Machine Learning Operations (MLOps) framework, integrating continuous human oversight and ethical accountability. A qualitative case study, DGOBCAN-AI, was employed, combining technical documentation, process observation, and organizational evaluation. The system evolved from a basic extract–transform–load (ETL) scrip
The coalescent architecture of agency : normative directionality as the key to human–AI integration
This paper advances the notion of coalescent agency as a framework for understanding human–AI integration, thereby entering ongoing debates about machine agency, extended cognition, and AI governance. I argue that the persistence or erosion of human agency in human–AI systems can be predicted through four operational criteria constituting normative directionality : domain understanding, critical evaluation capacity, override authority, and responsibility attribution. Drawing on segmented ontology and predictive processing theory, I distinguish material-segment mechanisms (AI computational processing) from social-segment mechanisms (human normative practices) while showing how these heterogeneous structures can coordinate productively. The framework’s central prediction—that automation bias
Incentives or Obligations? The U.S. Regulatory Approach to Voluntary AI Governance Standards
By FPF Legal Intern Rafal Fryc As artificial intelligence gets increasingly deployed across every sector of the economy, regulators find themselves grappling with a fundamental challenge: how to govern a technology that defies traditional regulatory frameworks and changes faster than legislation can keep pace. One increasingly common approach can be found outside the text of […]
FPF Privacy Papers for Policymakers: Impactful Privacy and AI Scholarship for a Digital Future
FPF recently concluded its 16th Annual Privacy Papers for Policymakers (PPPM) events, hosting two dynamic virtual ceremonies on March 4 and March 11, 2026. This year’s program centered on the most pressing areas in privacy and AI governance, bringing together global awardees to discuss their research with leading discussants from industry, academia, and civil society. […]
Identity-first AI governance: Securing the agentic workforce
AI agents are now operating inside production systems, querying Snowflake, updating Salesforce, and executing business logic autonomously. In many enterprises, they authenticate using static API keys or shared credentials rather than distinct identities in the corporate IDP.  Authenticating autonomous systems through shared credentials introduces real governance risk. When an agent executes an action, logs often... The post Identity-first AI governance: Securing the agentic workforce appeared first on DataRobot .
AI policy and the battle for computing power
AI is reshaping global power, from chip manufacturing and computing power to AI governance and US-China relations. In this episode, Ben Buchanan, Assistant Professor at The Johns Hopkins University and former White House Special Advisor for AI, explores how AI policy, geopolitics, and international cooperation intersect with AI innovation and AI safety. We discuss the strategic importance of computing power, the future of AI governance, and what it will take for democracies to lead responsibly in the age of AI. Featuring: Ben Buchanan – LinkedIn Chris Benson – Website , LinkedIn , Bluesky , GitHub , X Links: The AI Grand Bargain Upcoming Events: Register for upcoming webinars here ! ]]>
How Brazil's AI Governance Vision Got Sidelined at the India Summit - Tech Policy Press
<a href="https://news.google.com/rss/articles/CBMinAFBVV95cUxObG5ub2ExMmFnbjB0SEE5SWh2SmlDNnlKOG95Y0hOVUdMc1M1WFRicFRTSlg5VFlYaU9XQ1kyZGdtN21MSFdFX2F1WnZHZnNfTnp4TFpIdFJGcXYxUXVtU2VlTURfZGUyeHl6aHVrNm53d29ib0F1eUhLdHBnSUZ6RXNWeWFHVlRRbDJXQ1ZUUXhPS2lhN3lzRlA1eVc?oc=5" target="_blank">How Brazil's AI Governance Vision Got Sidelined at the India Summit</a> <font color="#6f6f6f">Tech Policy Press</font>
Building Blocks for an Ethical and Responsible AI Governance in - UNESCO
<a href="https://news.google.com/rss/articles/CBMixgFBVV95cUxPY3FPeXBRTGJic0F6WlZRVlRtSU9aaVBiWTd5UWxrUmVjSnZwY05sWWhVZG02am9LUUp2MENDa2pfTkZwdmx0cUNYTGgzZnJLU0Q3Wk10T3I1ZEVFVnJBWkhrMk5KUnZxYU9ZU1RFTWl1RnZYUE5KaDBzYmkxTVE4R3dsMkpMakFvM2FDTk1vZkNaZmV1VnlFMVZuQ2dNWVVtcGh3dVRuM0RheUg5MHZDbHNxdXBzMzE5clF5eWZQWVl1OFJGbWc?oc=5" target="_blank">Building Blocks for an Ethical and Responsible AI Governance in</a> <font color="#6f6f6f">UNESCO</font>