Research Gold Deploys Eight Fabricated PhD Profiles and AI Voice Agents for Medical Review Services

The company advertised full-service systematic reviews and meta-analyses led by named PhD staff with publication records. Investigation found zero verifiable academic footprints for Dr. Elena Vasquez, Dr. Mei-Lin Chen and six others; their images matched common AI generation artifacts. Real methodologists whose LinkedIn profiles were scraped without consent had no affiliation and filed takedown demands after contact. All customer channels defaulted to an AI voice agent that asserted human operation.

Primary evidence includes direct name searches yielding no PubMed or ORCID matches, identical profile lifts from LinkedIn including #OpenToWork overlays, and rapid removal of the real-person section post-inquiry. This pattern matches documented academic paper-mill operations that previously relied on stock photos before shifting to generative models for staff facades.

The case exposes a gap in platform enforcement: domain registrars and academic indexing services lack routine identity verification for service providers claiming methodological expertise. It also reveals downstream risk to medical literature integrity when AI-generated outputs enter peer review pipelines under false human authorship claims. Regulatory bodies such as COPE have issued guidance on AI disclosure but lack enforcement mechanisms for third-party vendors.

Takedown requests and potential identity-theft complaints are now active. Domain-level monitoring will show whether the service rebrands or migrates within 60 days.