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Compliance guide · India

Training AI on Indian data before DPDP core obligations: what to document

The Digital Personal Data Protection (DPDP) Act applies to personal data used for AI training. This guide covers the dated milestones and the records an AI team should be able to produce.

This is a general guide, not legal advice. Confirm every date and obligation with your counsel and the official sources linked below.

Dated milestones

Official sources: The Gazette of India (egazette.gov.in) and Ministry of Electronics and Information Technology (meity.gov.in).

Checklist: records to hold for training data

For every dataset that touches personal data, an AI team should be able to produce the following without a scramble.

  1. Source: Where each dataset came from: the provider or collection method, the date acquired, and the contract or terms it was acquired under.
  2. Consent basis: The legal basis for using the personal data in training, the notice shown, the purpose it covered, and how a withdrawal of consent is recorded and acted on.
  3. Processing steps: What was done to the data before and during training: cleaning, de-identification, annotation, filtering, and which tools and teams were involved, with versions and dates.
  4. Access logs: Who accessed the data, when, from where and for what task, including annotators, vendors and engineers.
  5. Retention logs: How long each dataset is kept, the reason, when it was deleted or returned, and evidence that the deletion happened.

Where Indika fits

Indika is GDPR compliant, and its data handling practices are built around documented processing and controlled access. Ask any annotation vendor, including us, to supply the access and processing records above for the work done on your data.

Talk to us about compliant training data

Tell us about your data and your documentation needs.

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