Centre forms high-level inter-ministerial body to steer AI governance strategy
AI Governance and Economic Group (AIGEG) will coordinate policy across ministries, departments and sectoral regulators and oversee cross-sectoral governance issues.
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AI Governance and Economic Group (AIGEG) will coordinate policy across ministries, departments and sectoral regulators and oversee cross-sectoral governance issues.
The rise of artificial intelligence (AI) marks one of the most consequential transformations of the 21st century. No longer confined to laboratories or speculative fiction, AI now...
Enterprise AI has reached the point where hand-wringing is no longer enough. The urgent question is practical: what should organisations actually build if they want autonomous agen...
If AI agents are becoming organizational actors, then governance needs to move beyond principles and into operational structure. In Camille Stewart Gloster’s upcoming book The Ins...
Moving fast without losing control is the core promise of DevOps. Extending this discipline to AI is the next logical step, supported by existing frameworks.
SIR 2.0 exposed structural weaknesses in electoral roll revision processes; an AI-enabled oversight layer integrated with ECINet could continuously monitor electoral operations, de...
No, AI agents cannot be fully trusted without robust governance—but yes, they can become indispensable enterprise allies when agentic AI governance leads the way. In the BFSI world...
Something is not working in enterprise AI governance. The frameworks exist. The policy documents are...
Artificial intelligence is now embedded across financial services value chains — from credit underw
Governance built for speed, everywhere your AI and APIs already run.
When the consequences of one corporate decision can compromise the world’s digital infrastructure, industry self-governance is not enough. The post The Governance Gap Mythos Expose...
Autonomous AI systems are beginning to move beyond software environments and into warehouses, delivery networks, and public spaces. The development is drawing attention to whether...
The enterprise AI ecosystem is shifting dramatically from human-in-the-loop experimentation to autonomous, agentic execution. This unprecedented adoption masks a systemic operation...
Model governance is no longer enough when AI systems begin influencing or initiating financial decis...
We have seen this pattern before. Washington debates, states move, and Congress eventually responds, often borrowing from what states have already built. Privacy may be heading bac...
Financial institutions have long trusted one comforting idea about AI risk: When the system is uncer...
The Cloud Security Alliance (CSA) has announced a series of CSAI Foundation milestones aimed at securing what it calls the agentic control plane, including a new catastrophic risk...
The financial services sector has reached a critical inflection point where the novelty of generativ...
The financial services sector has reached a critical inflection point where the novelty of generativ...
The legal architecture for AI governance is no longer about policy adoption but about whether an organization can produce evidence that traces from board-level authorization to pro...
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AI agents can act, but can you hold them accountable? As enterprises scale AI, the lack of agent identity is emerging as a critical governance gap. Learn why identity, auditability...
Where does real power reside in the UN development system? A new policy brief from Cepei, a Colombian development policy institute, and the German Institute of Development and Sust...
DAOs were supposed to revolutionise governance. Instead, most of them suffer from voter apathy, whal...
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