India's draft AI policy represents an ambitious effort to retrofit order onto a system built on disorder. At the heart of the challenge: modern AI systems are trained on billions of media fragments that are scraped, compressed, decontextualised, and mathematically abstracted beyond human comprehension.
A key insight from the policy paper highlights a fundamental tension: these are "non-deterministic" workflows where determining the provenance of copyrighted material becomes "technically infeasible." This represents the central dilemma the policy attempts to address—that AI companies cannot demonstrate where their training data originated.
Clairva's approach directly confronts this problem. By building datasets with full provenance chains from the ground up, every piece of content in Clairva's pipeline carries metadata about its origin, licensing status, and usage rights. This isn't retroactive compliance—it's compliance by design.
The policy identifies several critical gaps in current AI development practices: the absence of attribution mechanisms, the lack of compensation for content creators, and the difficulty of auditing training data after ingestion. Clairva addresses each of these systematically.
Attribution is embedded in the dataset structure itself. Every video clip, every audio segment, every frame carries traceable metadata linking it to its source creator and rights holder. Compensation flows through transparent licensing agreements negotiated before content enters the training pipeline—not after.
For AI companies operating in India or training on Indian content, the implications are clear. As regulatory frameworks tighten, the cost of non-compliance will rise dramatically. Companies that build on properly licensed, provenance-verified data today will avoid the legal and reputational risks that are already materializing across the industry.
Clairva doesn't just solve the problems highlighted in India's draft AI policy. It anticipates the direction of global regulation and builds infrastructure that makes compliance the default rather than the exception.