The irony, of course, (as anyone with failed ML launch at Google knows, haha) is that internally Google has extremely strong privacy practices and safeguards an

The irony, of course, (as anyone with failed ML launch at Google knows, haha) is that internally Google has extremely strong privacy practices and safeguards and probably is the best organization to actually handle this data correctly. As for de-anonymization, of course raw data should be pre-anonymized: anonymization is a major source of mistakes in the data, often rendering data useless, and needs to be done correctly by the people who know how to do it correctly.