What KHI Research Is

KHI Research is an AI-powered research publication operated by SIIEA Innovations, a technology company based in Texas. Every article published on this site is generated by automated artificial intelligence systems — not written by a human journalist or researcher. We publish this methodology so you can evaluate what you read and make informed decisions about how to use it.

How Articles Are Produced

Each KHI Research article follows a fully automated pipeline:

  1. Source discovery — Our systems search arXiv, Hugging Face Papers, Semantic Scholar, and academic preprint repositories daily, identifying the most relevant new papers based on configured research topics.
  2. Paper ingestion — Each paper is downloaded and read in full using PDF extraction technology. The AI reads the complete paper, not just the abstract.
  3. AI synthesis — A large language model running on-premise at SIIEA Innovations (we do not use OpenAI, Anthropic, or other cloud LLM services for content generation) reads the extracted findings and synthesizes a narrative article.
  4. Quality validation — An automated step checks the article for accuracy relative to the source papers. Articles scoring below threshold are regenerated.
  5. Human review gate — Before publication, the generated article enters an approval queue. A human operator at SIIEA reviews and approves or rejects it before it reaches readers.
  6. Publication — Approved articles are published to khi.siiea.ai.

What AI Cannot and Does Not Do Here

  • We do not conduct original experiments, surveys, or interviews.
  • We do not verify author credentials or the peer-review status of every source.
  • We do not guarantee the accuracy of AI-generated summaries — the AI can misinterpret, misattribute, or hallucinate information.
  • We do not generate content intended to deceive readers about its AI origin.

Source Papers and Citations

Every article includes a Sources section at the bottom listing the academic papers that were read and synthesized to produce it, with direct links to arXiv or DOI where available. Source papers are primarily retrieved from arXiv (open-access preprints). arXiv papers are typically licensed under Creative Commons (CC BY 4.0), which requires attribution — we provide that attribution in the Sources section of every article.

AI Models and Infrastructure

KHI Research runs entirely on-premise at SIIEA Innovations. We do not send content to OpenAI, Anthropic, Google, or other cloud AI providers. Our LLM stack consists of open-weight models (Qwen3 and Magistral families) running on local hardware via a private LLM gateway. Your reading behavior and the content we generate is not shared with third-party AI companies.

No Human Bylines Policy

Articles are attributed to "KHI Research" — never to a named human who did not write the article.

  • FTC Act Section 5 (15 U.S.C. § 45) — AI provenance is a material fact that would affect how reasonable readers evaluate this content. Non-disclosure would constitute deception.
  • California AI Transparency Act (SB 942, effective January 1, 2026) — We provide manifest (visible) and latent (metadata) disclosures on all AI-generated content.
  • Texas Responsible AI Governance Act (TRAIGA, H.B. 149, effective January 1, 2026) — While TRAIGA's disclosure mandate targets government agencies, we disclose voluntarily as best practice.

Accuracy and Corrections

AI synthesis systems can misinterpret, misattribute, or generate inaccurate information. If you identify a factual error in any article, please contact us at [email protected]. We will review and issue a correction within 5 business days.

Contact

[email protected]
SIIEA Innovations · Texas, United States