Source hierarchy
Priority is given to regulatory filings, audited financial statements, official disclosures, earnings materials, governance documents, government data, and other identifiable primary sources.
How GII uses artificial intelligence, verifies evidence, assigns accountability, and supports accurate citation.
GII may use artificial intelligence for evidence gathering, document organization, comparison, translation, calculation review, consistency testing, scenario development, and workflow management. AI output is not treated as evidence merely because it is fluent or plausible.
Named authors and GII editors remain responsible for source verification, materiality, analytical framing, judgment, disclosure, and final publication.
Priority is given to regulatory filings, audited financial statements, official disclosures, earnings materials, governance documents, government data, and other identifiable primary sources.
Material claims, calculations, quotations, dates, and conclusions are reviewed by a human author or editor before publication.
GII seeks to distinguish sourced fact from analyst interpretation, framework application, scenario analysis, and judgment.
Pre-publication chapters, simulated portfolios, beta research, and working editions are labeled clearly. Their wording, data, exhibits, methods, and conclusions may be revised as new evidence emerges or editorial work continues.
Material corrections and substantive revisions are documented on the Research Corrections & Revisions page.
When citing GII research, use the named author where provided, the publication title, Global Innovation Institute as publisher, the visible publication or update date, and the canonical public URL. Suggested citations are provided on major publication and framework pages.
Global Innovation Institute. “Title of Page or Publication.” Publication or update date. Canonical URL.
Readers may report a possible error, request source clarification, or ask about citation through GII’s research inquiry channel.