Real ChatGPT answer · index seed2hYqZYAh0WgcompleteB2B software · AI and automation toolsinformational
What are the hidden privacy risks of using hosted open source LLMs versus training our own local models for internal HR processes?
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Fan-out diagram
The searches the AI actually ran for this prompt.
SEED QUERY
What are the hidden privacy risks of using hosted open source LLMs versus training our own local models for internal HR processes?
3 real searches · 1 real-search pass
privacy risks hosted open source LLM employee HR data retention training subprocessors NIST AI privacy frameworkGoogle ↗
OBSERVED
EEOC AI employment selection tools privacy employee data guidance automated systemsGoogle ↗
OBSERVED
NIST generative AI profile data privacy risks prompt logging retrieval augmented generationGoogle ↗
OBSERVED
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.
Classifying 3 queries…
Searches and sources
ChatGPT3 real searches · gpt-6
privacy risks hosted open source LLM employee HR data retention training subprocessors NIST AI privacy framework Google ↗
EEOC AI employment selection tools privacy employee data guidance automated systems Google ↗
NIST generative AI profile data privacy risks prompt logging retrieval augmented generation Google ↗
- Guidance on privacy and the use of commercially available AI products · oaic.gov.au
- Guidance on privacy and developing and training generative AI models · oaic.gov.au
- NIST Trustworthy and Responsible AI · csrc.nist.rip
- Artificial Intelligence Risk Management Framework: Generative Artificial Intelligence Profile · nvlpubs.nist.gov
- Testimony of ReNika Moore · eeoc.gov
- Employment Tests and Selection Procedures · eeoc.gov
Queries
3 queries · click a column to sort
| Query / type | Search | Intent | Query class | Routing format | Cluster | Freq ↓ | Weight |
|---|---|---|---|---|---|---|---|
privacy risks hosted open source LLM employee HR data retention training subprocessors NIST AI privacy framework OBSERVED | Google ↗ AI Mode ↗ | — | — | — | — | 1x of 1 | |
EEOC AI employment selection tools privacy employee data guidance automated systems OBSERVED | Google ↗ AI Mode ↗ | — | — | — | — | 1x of 1 | |
NIST generative AI profile data privacy risks prompt logging retrieval augmented generation OBSERVED | Google ↗ AI Mode ↗ | — | — | — | — | 1x of 1 |