Research Gold, a company advertising services for medical researchers, including drafting manuscripts and systemic reviews, has been found to use AI extensively despite explicitly claiming its services are "100% human-written, never AI." The company's website lists several PhD reviewers and professional methodologists who are presented as the team behind their work.
Investigation revealed that the PhD reviewers listed on Research Gold's site are AI-generated and do not exist. Furthermore, other methodologists listed are real individuals whose identities are being used without their knowledge or consent. Attempts to contact the company via phone, email, and chat were met with AI-generated responses, with the AI agent refusing to acknowledge its nature.
Research Gold's site promotes services such as protocol development, search, screening, extraction, risk of bias analysis, statistics, and publish-ready manuscripts formatted to target journals. It claims these are led by PhD methodologists with peer-reviewed publication records and adhere to PRISMA 2020 and Cochrane Handbook methodologies. PRISMA 2020 is a guideline for transparent reporting in systemic reviews, while the Cochrane Handbook provides standards for systemic reviews on healthcare interventions.
Systemic reviews and meta-analyses are critical components of medical research, synthesizing existing literature to inform new studies and address research questions. Professional methodologists are essential for ensuring the rigor of these processes. The use of AI and misrepresentation of personnel by Research Gold raises concerns about the quality and authenticity of the research support it provides, potentially affecting the integrity of medical research relying on such services.
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Research Gold, a service offering medical research assistance, claims to provide "100% human-written" content and lists non-existent, AI-generated PhD reviewers. The company also uses the identities of real methodologists without their knowledge and employs AI for customer interactions. This misrepresentation impacts the integrity of research support services and highlights the challenges of verifying claims in the AI era.