Data sovereignty in India: the case for keeping inference in-country
For regulated Indian enterprises, it increasingly matters not just what an AI model does but where it runs. Here is a grounded…
humaineeti contributor
Category: Governance
AI governance, regulation and responsible-AI practice.
humaineeti contributor
Responsible AI in India: what NITI Aayog’s seven principles actually ask of you
Before the sector-specific rulebooks, NITI Aayog laid down seven principles for responsible AI in India. They remain the clearest statement of what…
humaineeti contributor
The RBI FREE-AI framework, explained for people who have to act on it
In August 2025 the Reserve Bank of India released the FREE-AI framework: seven guiding principles and 26 recommendations for responsible AI in…
humaineeti contributor
When DPDP meets agentic AI: consent stops being a checkbox
India's data protection rules are arriving just as enterprises hand real decisions to autonomous agents. That collision turns consent, purpose limitation and…
humaineeti contributor
Introducing humaineeti: agentic AI, engineered to earn its keep
humaineeti engineers governed, outcome-driven agentic AI and generative AI for the enterprise — built for production and trusted from day one. Here…
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