Governance frameworks are balanced, agile, flexible and principle-based, with monitoring and recalibration from feedback; the current legal framework is reviewed for AI risks and regulatory gaps, for example the Information Technology Act's classification of AI actors and intermediary immunity, the Digital Personal Data Protection Act's treatment of training data, consent and legitimate use, and sector laws such as the PC-PNDT Act; targeted legislative amendments encourage innovation (copyright text and data mining, data protection) and clarify classification and liability; and common standards and benchmarks serve regulatory objectives on content authentication, data integrity, cybersecurity and fairness.
The graph holds this control, the 0 it maps to, and the evidence behind each claim, over MCP and REST.