What should I look out for regarding data privacy when evaluating document parsing APIs for processing sensitive family tax documents?
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Fan-out diagram
The searches the AI actually ran for this prompt.
SEED QUERY
What should I look out for regarding data privacy when evaluating document parsing APIs for processing sensitive family tax documents?
3 real searches · 1 real-search pass
FTC Safeguards Rule service providers tax preparers customer information data security requirements officialGoogle ↗
OBSERVEDOther / navigational
IRS Publication 4557 safeguarding taxpayer data tax professionals officialGoogle ↗
OBSERVEDDefinition
NIST Privacy Framework data minimization retention third party processors officialGoogle ↗
OBSERVEDOther / navigational
Badge and edge weight = share of passes that produced the query. Hover a query for its intent and routing format.
Query classes
Google's semantic query class for every sub-query: what kind of answer each search is after, simulated vs real.
ChatGPT real searches (3)
Classes come from the query-classifier (a local Laya model). 3 of 3 calls are low-confidence (under 50%) — hover a query in the table to see its confidence.
Searches and sources
ChatGPT3 real searches · gpt-6
Queries
3 queries · click a column to sort
| Query / type | Search | Intent | Query class | Routing format | Cluster | Freq ↓ | Weight |
|---|---|---|---|---|---|---|---|
FTC Safeguards Rule service providers tax preparers customer information data security requirements official OBSERVED | Google ↗ AI Mode ↗ | — | Other / navigational | — | — | 1x of 1 | |
IRS Publication 4557 safeguarding taxpayer data tax professionals official OBSERVED | Google ↗ AI Mode ↗ | — | Definition | — | — | 1x of 1 | |
NIST Privacy Framework data minimization retention third party processors official OBSERVED | Google ↗ AI Mode ↗ | — | Other / navigational | — | — | 1x of 1 |