training data

A pre-ticked box gets more data and a regulator's attention. Decide the default, what applies retroactively, what withdrawal really means and who is never included.

The data flywheel is real, and so is the trust cost of getting consent wrong. The interviewer wants a decision framework: legal basis, contracts, user choice, de-identification and the value actually expected.

Courts have treated training and acquisition differently, and memorised output differently again. Decide how the data is obtained, what the model may reproduce and which markets carry which risk.

Public is not the same as free to use. In the EU you need a legal basis and an objection route; in India the exemption covers data the person made public themselves, which is narrower than anything on the web.

Data for free usage is a legitimate trade if it is explicit. Draw a hard line so production apps serving regulated users move to paid, and keep enterprise excluded by default.