Clearview AI Tests InquiryIQ Web Profiler

The bigger shift is from identifying a face to algorithmically mapping a person’s digital life. That agentic jump could make investigations faster, but also make speculative surveillance cheap and difficult to audit.

• –The prototype combines facial recognition, web search, image analysis, and large language models into one investigative workflow.
• –AI-generated profiles can amplify false associations, biased data, and hallucinated leads—especially when demographic attributes influence searches.
• –Human review is not enough unless systems preserve prompts, searches, model choices, evidence, and uncertainty for later auditing.
• –Clearview already markets a massive facial-recognition database to law enforcement, making InquiryIQ an expansion of an existing surveillance pipeline. [Clearview AI](https://www.clearview.ai/)
• –Developers building investigative AI should treat provenance, access controls, retention limits, and independent verification as core product requirements, not compliance afterthoughts.