Last Updated: October 9, 2026
Investozora is an independent financial news and economic research publication founded in August 2025 by Adarsha Dhakal. The publication provides original reporting, economic analysis, data-driven research, and public information resources covering the United States economy, Federal Reserve policy, U.S. Treasury operations, financial markets, banking, inflation, employment, interest rates, taxation, Social Security, and federal financial systems.
Investozora uses artificial intelligence and AI-assisted technologies in aspects of its editorial research, content development, data analysis, and publishing workflows.
This AI Disclosure explains how these technologies may be used, the limits placed on their role, the verification standards applied to AI-assisted work, and the responsibilities that remain with the publication’s human editorial leadership.
Investozora recognizes that artificial intelligence can support the examination and communication of complex financial information. It can assist with organizing documents, structuring explanations, identifying analytical questions, and processing large amounts of information.
However, the ability of an AI system to produce a fluent explanation does not establish that its statements are accurate, its calculations are correct, or its references correspond to authentic records.
For Investozora, the fundamental distinction is between technology used to assist research and the evidence required to establish a factual claim.
Original U.S. government documentation, identifiable data records, transparent calculations, and accountable editorial judgment remain the foundations of the publication’s financial journalism.
AI assistance does not replace these requirements, establish government authority, or remove responsibility for the final published work.
This disclosure applies to relevant uses of AI in Investozora’s articles, financial analysis, economic research, explanatory reporting, graphics, data resources, and associated editorial processes.
Our Position on Artificial Intelligence in Journalism
Investozora regards artificial intelligence as an editorial support technology rather than an independent authority over financial or economic information.
AI systems may help researchers organize complex material and identify relationships worth examining. They may also support writing, editing, numerical analysis, and the preparation of explanatory content. These capabilities can improve efficiency, but they introduce additional responsibilities.
Generative AI systems can produce convincing but incorrect statements, misinterpret statistical information, invent citations, confuse reporting periods, or express uncertain conclusions with unwarranted confidence.
Investozora does not consider the apparent fluency or technical sophistication of an AI-generated response to be evidence of factual reliability. Information must be assessed according to the original records and methodology relevant to the claim.
The publication’s responsibility is to determine whether the final work accurately represents the evidence, distinguishes fact from interpretation, and provides readers with information they can independently examine. AI may contribute to the preparation of that work, but it does not determine the truth of the underlying claims.
Human Editorial Leadership and Accountability
Investozora was founded by Adarsha Dhakal, who serves as Founder and Editor. Editorial leadership is responsible for the publication’s research direction, standards of factual verification, editorial judgments, and decisions concerning published material.
AI-assisted preparation does not transfer these responsibilities to the software provider or automated system involved. Where Investozora publishes original reporting under an identified author’s name, the byline represents human authorship or editorial responsibility for the work as accurately established.
The publication does not treat an AI system as a human journalist, government official, credentialed financial adviser, or independent editorial authority. A computer-generated draft does not become verified reporting solely because it has been accepted into an editorial workflow.
Human editorial review must evaluate the central claims, relevant original sources, numerical observations, analytical conclusions, and material qualifications before publication.
The scope of review should correspond to the importance and potential consequences of the information being presented.
Investozora does not claim that every article receives review from a separate team of editors or external experts when that process has not occurred. Its accountability rests with the publication and the identified individuals responsible for the work.
Where AI May Assist Our Editorial Work
AI-assisted technologies may support different stages of Investozora’s research and publishing process. The publication may use these technologies to organize public documents, compare passages, develop research questions, summarize material for further examination, identify possible analytical relationships, and assist with article structure.
AI tools may also help prepare draft explanations, improve grammatical clarity, develop alternative headlines, examine calculation methods, and format information for publication.
In economic research, automated systems may assist with identifying differences between statistical observations, organizing data tables, or proposing calculations for subsequent verification.
In website production, AI-assisted tools may support technical development, content organization, accessibility improvements, and the presentation of economic information.
These activities are not equivalent to allowing AI to independently establish facts.
Any AI-generated finding that materially affects a published report requires verification through the appropriate evidence and editorial process. The publication distinguishes the use of AI for workflow assistance from reliance on AI as an original evidentiary source.
AI Is Not a Primary Source
Investozora does not treat AI-generated text, automated summaries, or chatbot responses as primary evidence of official financial or economic developments.
A statement produced by an AI system cannot independently establish that the Federal Reserve changed an interest rate, that the Treasury completed a transaction, or that an economic indicator reached a particular value.
Such claims require verification against the original records maintained by the responsible institutions.
For Federal Reserve decisions and monetary policy, the appropriate sources include the Board of Governors of the Federal Reserve System and its Federal Open Market Committee documentation.
Treasury-related reporting uses relevant records from the U.S. Department of the Treasury, Bureau of the Fiscal Service, and Treasury Fiscal Data.
Economic reporting draws on statistical publications from the Bureau of Labor Statistics, Bureau of Economic Analysis, and U.S. Census Bureau.
For tax administration and federal benefit reporting, the publication uses official information from the Internal Revenue Service and Social Security Administration. AI may assist in locating or examining these materials, but the originating records remain the basis for factual reporting.
Verification of AI-Assisted Research
AI-assisted research must be evaluated according to the same evidentiary standards applied to other editorial work. A summary of an official document should be checked against the original document before material claims derived from the summary are published.
A numerical observation proposed by an AI system should be verified against the relevant official table, dataset, or release. An interpretation of a government decision should be checked to determine whether the originating institution actually made the statement or took the action described.
A claimed historical comparison requires examination of the appropriate data series and comparison period. Where an AI system identifies a possible relationship between economic developments, the relationship must be evaluated through relevant evidence rather than assumed to be correct.
AI-generated explanations should not introduce additional factual claims that are absent from or unsupported by the underlying records.
The publication’s standard is to verify the final material claim, not merely confirm that an automated tool was instructed to use reliable sources.
Source Links and AI-Generated References
Generative AI systems can produce references that appear authentic but do not correspond to real documents. They may also provide genuine links that do not support the claims associated with them.
Investozora does not accept an AI-generated citation as verified merely because it contains a recognizable government domain or plausible document title.
Material references must be checked for authenticity, relevance, and consistency with the statement they are intended to support.
Where practical, links should direct readers to the specific original release, statistical table, policy statement, or technical documentation rather than a general institutional homepage.
A genuine Federal Reserve document should not be cited as evidence for a Treasury transaction that it does not discuss. Similarly, an official economic report should not be used to validate a market quotation that lies outside the information contained in the source.
Investozora’s source-linking policy is designed to make significant financial claims independently examinable, regardless of whether AI assisted in locating the original record.
AI-Assisted Economic Calculations
Investozora may use computational tools, including AI-assisted systems, to support economic calculations and data analysis. These activities may involve percentage changes, ratios, yield spreads, historical comparisons, component contributions, and other derived measures.
An AI-generated calculation must not be accepted solely because the result appears mathematically plausible. The underlying observations, measurement periods, units, and calculation method must be established.
Particular attention is required when distinguishing monthly changes from annualized rates, percentages from percentage-point movements, nominal values from inflation-adjusted values, and seasonally adjusted data from unadjusted observations.
Where an AI system proposes a formula, the formula must be appropriate to the underlying economic measure.
Where a material result can be checked independently through direct arithmetic or a reproducible computational method, that check should form part of the review.
Investozora distinguishes its original calculations from statistics directly published by government agencies. The use of AI does not make an independently derived figure an official government measure.
Statistical Definitions, Comparisons, and Revisions
Economic data may be misunderstood when an automated system combines observations with different definitions or reporting conventions.
AI-assisted analysis may inadvertently compare incompatible periods, mix revised and unrevised data, or overlook changes in seasonal adjustment. Investozora recognizes that such mistakes can materially affect an article’s conclusion.
An unemployment rate, payroll employment figure, inflation measure, GDP estimate, and consumer credit series may involve different statistical populations, frequencies, and calculation methods.
The publication seeks to examine the relevant technical documentation when these distinctions matter.
The Bureau of Labor Statistics and Bureau of Economic Analysis publish original documentation explaining the construction, interpretation, and revision of important economic measures.
AI tools may assist with identifying potential differences between releases, but they must not determine which values are authoritative without reference to the originating documentation. An official revision should also be distinguished from an error made by Investozora or an automated system.
Federal Reserve and Monetary Policy Analysis
AI-assisted research may be used to help examine Federal Reserve statements, meeting minutes, economic projections, statistical releases, and monetary policy documents.
However, automated summaries must preserve the distinctions among formal Federal Open Market Committee decisions, individual policymaker statements, meeting discussions, and future policy expectations.
An individual official’s remarks must not be transformed into a committee decision. A forecast must not be represented as a completed policy action. A statement released at a meeting must not be confused with minutes published at a later date.
Where Investozora analyzes the possible implications of monetary policy for interest rates, inflation, employment, financial conditions, or Treasury markets, the analysis remains separate from the Federal Reserve’s official position.
AI may assist in organizing such analysis, but the resulting interpretation must be reviewed for accuracy, context, and unsupported certainty.
Treasury and Federal Financial Systems
Investozora covers Treasury borrowing, securities issuance, auction results, government cash management, debt financing, and related financial operations.
AI-assisted analysis of these subjects requires particular care because official records may involve different accounting periods, settlement dates, transaction types, and measurement conventions.
A borrowing estimate should not be presented as a completed transaction. An auction announcement should not be confused with its results.
A change in the Treasury General Account should not automatically be characterized as an equivalent change in broader market liquidity without appropriate supporting analysis.
AI systems may assist with identifying differences between official records or organizing government financial data for further examination.
The publication’s conclusions must nevertheless remain grounded in the original Treasury documentation and clearly identified calculations.
Market Data and Time-Sensitive Financial Information
Financial market reporting introduces limitations that differ from those associated with government economic statistics. Prices, yields, currency movements, stock index levels, and other market observations may change rapidly. An AI system’s general knowledge or generated response does not establish a current trading price.
Where a report includes a market figure, that figure must be supported by an appropriate original market record or authoritative market infrastructure, with attention to the correct instrument, observation time, and comparison.
Investozora does not treat government economic releases as substitutes for direct market observations. An AI system must not invent an intraday high, previous close, market probability, Treasury yield, or price movement to complete a draft.
If an important market observation cannot be adequately established, the claim should be excluded or limited to what can be verified.
The publication also recognizes that a market movement occurring near an economic announcement does not independently prove that the announcement caused the movement. AI-generated explanations of market causation require the same scrutiny as explanations prepared through any other method.
Forecasts, Probabilities, and Analytical Judgments
AI-assisted systems may propose explanations, scenarios, and forecasts concerning economic conditions or financial markets. Such outputs are analytical possibilities, not confirmed future developments.
Investozora does not treat a model-generated interest rate expectation, inflation forecast, investment projection, or probability as an official institutional position without appropriate evidence.
Where a forecast is material to an article, its source, relevant time horizon, assumptions, and uncertainty should be established.
Market-implied probabilities require additional care because the result may depend on specific instruments, pricing observations, contract details, and analytical methods.
An AI-generated probability must not be attributed to the Federal Reserve or another institution unless that institution actually published it.
The publication seeks to preserve the distinction between verified facts, independently calculated measures, and forward-looking interpretation.
Prohibition on Fabricated Evidence
Investozora does not permit the use of AI-generated material to fabricate evidence for financial journalism.
This includes invented government announcements, fictional datasets presented as official information, nonexistent regulatory filings, fabricated market prices, altered official statements, and quotations attributed to people who did not make them.
AI-generated text must not be presented as a genuine government document. A reconstructed interview must not be represented as an interview that actually occurred. An invented economic statistic must not be inserted into a report merely because the number appears reasonable.
Similarly, automated tools must not generate purported eyewitness accounts, personal experiences, or confidential institutional statements that have not been established through authentic evidence.
If a generated reference cannot be authenticated, it must not be presented as a verified source. The publication’s obligation is to identify what the evidence establishes rather than create information to fill gaps in an incomplete record.
Quotations, Speeches, and Institutional Statements
Quotations require particular care in AI-assisted publishing. Generative AI systems may paraphrase a speaker inaccurately, combine portions of separate statements, or produce plausible language that does not appear in the original record.
Investozora’s standard is to verify material quotations against appropriate original transcripts, official speeches, published statements, testimony, or authenticated source documents.
Quotation marks should identify words actually spoken or written, not a machine-generated approximation of their meaning. Where the original wording cannot be established, the publication should avoid presenting it as a direct quotation.
A summary of a Federal Reserve official’s remarks must also preserve the distinction between that individual’s stated position and the formal position of the institution.
Automated transcription and translation may assist with examining a statement, but their output requires review before being used as a verbatim quotation.
Human Authorship and Bylines
Investozora recognizes a distinction between using AI as an editorial tool and assigning authorship to a human being. A byline should accurately identify the person responsible for the published work.
The use of AI for research assistance, drafting, editing, or language refinement does not automatically remove human authorship where genuine human creative and editorial contributions exist.
At the same time, an individual’s name should not be used to imply that the person independently conducted research, interviewed sources, or verified evidence when those activities did not occur.
Investozora does not assign professional credentials, institutional affiliations, or reporting experience to AI systems. The publication does not use fictitious human journalist identities to disguise automated production.
Material credited to contributors must be handled consistently with the authorship and disclosure requirements applicable to their work.
Disclosure of AI Assistance in Individual Articles
This page provides Investozora’s general disclosure that AI-assisted technologies may be used in editorial research and production. Not every routine use of software requires a separate article-level AI notice.
Activities such as spelling assistance, formatting, language refinement, or organizational support may not materially affect how readers evaluate the evidence or authorship of an article.
However, additional article-level disclosure may be appropriate when AI makes a substantial contribution to the generation of editorial text, analytical presentation, imagery, or other material in circumstances where the information would be relevant to a reader’s understanding.
A disclosure should describe the nature of the assistance accurately rather than use a label that exaggerates or understates the technology’s role. Where AI-generated illustrative material is used, the relevant visual disclosure may be more appropriate near the image itself.
Where a calculation is independently developed or checked through computational tools, the important issue is whether the method and source information are explained accurately.
A general AI notice must not be used to excuse misleading authorship, unsupported claims, or fabricated evidence.
AI-Generated Images and Editorial Illustrations
Investozora may use computer-generated illustrations or AI-assisted visual materials when appropriate to explain financial or economic subjects. Illustrative material must be distinguished from authentic documentary evidence.
An AI-generated image should not be presented as a real photograph of a Federal Reserve meeting, Treasury operation, government official, financial market event, or other documented occurrence when it does not depict an actual recorded event.
Synthetic images must not be used to fabricate evidence of an event or create a misleading impression that a person participated in circumstances that did not occur.
When the generated nature of a visual is material to understanding it, Investozora’s standard is to identify the image as an AI-generated illustration or conceptual visual.
Relevant captions should not imply official government authorship or institutional endorsement unless that relationship has been established.
Illustration may support explanation, but it must not replace the original records used to verify the accompanying financial claims.
AI-Assisted Charts, Tables, and Data Visualizations
AI-assisted technologies may help prepare charts, tables, and graphical explanations of economic information. Visual accuracy remains subject to the underlying data.
A chart must not present invented values, unsupported comparisons, or misleading scales. Where the chart is based on official economic statistics, relevant source records and measurement periods should be identifiable.
An independently derived chart should distinguish original government observations from transformations or calculations performed by Investozora.
The publication seeks to ensure that axis labels, percentages, units, time periods, and historical comparisons are consistent with the verified data.
A visually appealing presentation does not compensate for a mathematical or statistical error. Automated visual production must therefore remain subject to appropriate factual review.
AI-Assisted Translation and Accessibility
AI technologies may assist with translation, text simplification, transcription, and accessibility-related editorial tasks. These applications may help readers understand technical information, but they can also alter meaning when applied to financial or legal terminology.
A translation may incorrectly interpret a policy condition, statistical concept, financial product term, or government procedure.
Similarly, an automated summary may omit an exception that materially changes the meaning of a source document.
Where translated or simplified material is used in published reporting, Investozora seeks to preserve the meaning of the relevant original record.
A translation or summary must not be treated as more authoritative than the original document from which it was derived. Material ambiguity should be resolved through the originating source rather than hidden by overly confident wording.
Headlines, Search Presentation, and AI Assistance
AI may assist with developing headlines, article summaries, and other editorial presentation elements. However, those elements must remain accurate representations of the published reporting.
An AI-generated headline must not introduce an unsupported numerical claim, exaggerate an economic development, or imply that a forecast has already occurred.
Financial market movements must not be attributed to a specific event solely because the connection produces a more compelling headline.
Likewise, an AI-assisted summary should not remove essential uncertainty, statistical qualifications, or distinctions between facts and analysis.
Investozora may use software to improve clarity and search presentation, but search visibility does not override editorial accuracy. The final headline and summary remain subject to human editorial responsibility.
AI in Economic Dashboards and Research Tools
Investozora develops economic research resources, including the U.S. Economy Dashboard and Economic Calendar. Computational systems may assist with retrieving, organizing, processing, and presenting economic information within these resources.
Where AI-generated explanations or classifications are used, they must remain distinguishable from official statistical values. A displayed figure should not be described as current merely because an automated system recently processed or displayed it.
The reference period, source release date, revision status, and applicable calculations may all affect the meaning of the observation.
If an automated tool introduces a material error into a chart, indicator, or explanatory resource, the publication should examine and correct the affected information.
Investozora’s use of technology does not change the institutional responsibility for the accuracy of information presented through its own research interfaces.
Reader Privacy and Confidential Information
AI-assisted editorial workflows may involve the processing of documents, data, and correspondence. Investozora recognizes that not all information appropriate for editorial review should be submitted to an external AI service.
Readers may contact the publication about tax procedures, benefit payments, financial matters, or other subjects involving personal information.
Such correspondence may contain information that should remain private even when the underlying subject is relevant to public financial reporting.
Investozora’s standard is to avoid submitting confidential reader information, banking credentials, Social Security numbers, tax identification numbers, unpublished sensitive records, or other unnecessary personal data to external AI systems without a lawful basis and appropriate safeguards.
Where AI tools are considered for processing information that could identify a person, the publication should assess the necessity of the processing, the service’s data-handling terms, and the applicable privacy requirements.
Public government datasets and confidential personal account records must not be treated as equivalent forms of information. The publication’s handling of reader data remains governed by its Privacy Policy.
AI Services and Third-Party Data Processing
AI-assisted research may involve technology operated by external service providers. The data practices of those providers can differ, including how information is retained, processed, reviewed, or used to improve their services.
Investozora recognizes that submitting material to a service may create privacy, confidentiality, security, or intellectual property considerations.
The publication should evaluate the nature of the information before making it available to an external system. A provider’s general marketing claims do not independently establish that a particular use of confidential information is appropriate.
Where relevant, contractual terms, available technical settings, access restrictions, and data retention arrangements should be considered. Investozora does not represent that all AI services provide identical security or confidentiality protections.
Official guidance from the Federal Trade Commission concerning AI-related privacy and confidentiality commitments provides additional context on the importance of accurate representations about data handling.
Copyright and AI-Generated Material
Investozora respects the distinction between original human-authored expression, public government information, licensed material, and AI-generated content.
The use of AI during the creative process does not automatically establish copyright ownership over every resulting element. Under U.S. copyright principles, protection depends on the existence and extent of qualifying human authorship.
The U.S. Copyright Office’s Artificial Intelligence initiative provides official guidance concerning copyrightability, AI-generated material, digital replicas, and related legal questions.
Investozora does not assume that an AI-generated output is exclusively owned by the publication simply because it was produced in response to a prompt.
Likewise, the use of AI to assist an author’s work does not automatically eliminate copyright protection for the author’s qualifying original contribution.
Original government facts, public statistical records, and independently created editorial expression remain distinct categories. The publication seeks to avoid reproducing protected material without an appropriate legal basis.
Where significant AI-generated material forms part of a work subject to copyright registration or licensing, the relevant legal treatment should be evaluated according to the applicable rules.
Plagiarism and Unattributed Reproduction
Investozora does not permit AI assistance to be used as a means of disguising plagiarism. An AI-generated paraphrase does not automatically become original reporting merely because the wording differs from its source.
The publication distinguishes common factual information from another author’s protected expression, distinctive research, or creative presentation. Where external material is appropriately authorized for publication, the relevant attribution and rights must be respected.
An AI system must not be used to reproduce another publication’s original article and present the result as Investozora’s independently researched work.
Similarly, automated rewriting must not be treated as a substitute for examining the underlying official records. Investozora’s standard is to produce original explanations and analysis grounded in evidence rather than substitute generated variations for independent editorial work.
AI, Bias, and Fair Representation
AI systems may reflect limitations and biases present in their training information, design, or operating context. They can produce selective explanations, misleading assumptions, or conclusions that emphasize one interpretation without adequately considering the available evidence.
Investozora seeks to evaluate AI-assisted analysis according to the original records rather than accept the framing proposed by a model.
Reporting on economic policy, government decisions, financial institutions, and public officials should preserve appropriate factual context. A disputed economic interpretation must not be presented as a confirmed official finding.
A regulatory allegation must not be transformed into a final legal determination. Financial and political developments should be examined without treating unsupported claims as equivalent to documented evidence.
The publication’s responsibility is to represent relevant information fairly while preserving the distinction between established facts and legitimate analytical disagreement.
AI and Financially Consequential Information
Investozora recognizes that some of its reporting concerns financial matters with significant consequences for readers. Articles about tax obligations, IRS refund procedures, Social Security eligibility, government payments, borrowing costs, investments, and financial regulation may inform decisions affecting individual finances.
For these subjects, AI-generated errors can be particularly consequential. A generated explanation must not invent an eligibility rule, guarantee a refund date, imply that an individual benefit has been approved, or recommend a specific financial action without an appropriate basis.
Official government guidance must be distinguished from general educational explanation and personal advice.
The publication does not use AI-generated analysis as a substitute for licensed professional advice tailored to an individual reader. Its reporting remains informational and educational in nature, as explained in the Disclaimer.
Responsible AI Risk Management
Investozora recognizes that AI use requires consideration of accuracy, transparency, security, reliability, privacy, and editorial accountability.
The National Institute of Standards and Technology’s AI Risk Management Framework provides voluntary guidance for identifying and managing risks associated with artificial intelligence.
NIST also publishes a Generative Artificial Intelligence Profile addressing risks associated with generative systems.
These resources provide useful principles for evaluating the responsible use of AI, including understanding system limitations and maintaining human accountability.
Investozora considers such guidance relevant to the development of its internal editorial practices.
However, reference to NIST guidance does not mean the publication has received NIST certification, completed a formal AI audit, or implemented every measure described in the framework.
The publication seeks to apply appropriate controls according to the actual technologies used, the information being processed, and the potential consequences of an error.
AI-Assisted Work and Editorial Independence
Investozora’s editorial independence applies to technology providers as well as commercial partners and external institutions.
The publication does not treat an AI provider’s preferred interpretation as an authoritative conclusion about monetary policy, financial regulation, economic performance, or public institutions.
AI-generated content should not determine the factual outcome of a report independently of the underlying evidence.
Commercial arrangements involving technology providers must not influence the accuracy of published statistics or suppress warranted corrections.
The use of a particular AI system does not constitute an endorsement of every claim made by its developer. Likewise, a reference to government AI guidance does not establish government approval of Investozora’s publishing practices.
The publication retains responsibility for the information presented to readers.
Corrections to AI-Assisted Content
AI-assisted material is subject to Investozora’s ordinary correction standards.
If an article contains an incorrect figure, fabricated reference, invalid calculation, misleading quotation, or unsupported interpretation, the error must be evaluated according to its factual significance.
The publication does not regard AI involvement as an excuse for leaving an established error uncorrected. A correction may require changing the article body, headline, numerical comparison, visualization, or associated analytical conclusion.
Where a material error affects the central finding of a report, correcting an isolated sentence may be insufficient. An official statistical revision should also be distinguished from a mistake introduced during AI-assisted processing.
Where a significant correction is made, the publication seeks to explain the material change transparently. Readers may consult the Corrections Policy for information about corrections, clarifications, updates, and retractions.
Evaluating Errors in AI-Assisted Workflows
Investozora recognizes that a published error may reveal a weakness in the way a research or production tool was used. A fabricated citation may indicate that an automated source suggestion was accepted without adequate verification.
An incorrect economic calculation may indicate that incompatible series, observation periods, or measurement conventions were combined.
An inaccurate policy explanation may result from summarizing a document without examining an important qualification.
When such problems are identified, the publication should consider not only the immediate correction but also whether the relevant editorial process requires improvement.
The purpose of this review is to reduce the recurrence of similar errors. Investozora does not claim that any automated safeguard can eliminate every mistake. Its objective is to maintain procedures that support accountable review and appropriate correction.
Reader Questions About AI Use
Readers may request clarification about the role of AI in Investozora’s reporting or raise concerns about material that appears inaccurate or misleading.
A request may concern the authenticity of a source, a numerical calculation, an AI-generated illustration, a quotation, or the distinction between automated assistance and original analysis.
Investozora evaluates such concerns according to the available evidence and the nature of the published material. The publication does not treat a reader’s suspicion of AI use as proof that a report is inaccurate.
Equally, identifying an article as human-reviewed does not remove the need to investigate a credible factual challenge. The relevant question is whether the published content is accurate, appropriately attributed, and supported by the evidence.
Correspondence concerning AI-related editorial questions may be directed to editorial@investozora.com.
Relationship to Our Editorial Policies
This AI Disclosure explains the role and limitations of artificial intelligence within Investozora’s editorial activities. It is intended to operate alongside the publication’s other institutional policies.
The Editorial Standards define the principles governing journalistic responsibility, source selection, analytical independence, authorship, and the presentation of verified information.
The Fact-Checking Policy explains how material factual claims, official documents, numerical observations, and independent calculations are evaluated.
The Corrections Policy establishes how identified errors, official revisions, clarifications, and retractions are handled.
The Research Methodology describes the methods used to examine government records, economic data, historical comparisons, and independent research findings.
The Privacy Policy and Legal Disclosures address information processing and institutional responsibilities.
Together, these policies distinguish the tools used to prepare editorial material from the evidence required to justify its publication.
Review and Development of AI Practices
AI technologies and their potential applications continue to evolve. Investozora may adjust its use of AI-assisted systems as its editorial coverage, research capabilities, and technical infrastructure develop.
A new application may require different controls depending on whether the technology is used for language editing, numerical analysis, source discovery, chart generation, or the processing of sensitive information.
The publication seeks to evaluate such applications according to their actual function and the risks associated with their use.
Experience with inaccurate results, documented limitations, or changes in official guidance may inform the development of editorial procedures.
The adoption of a new tool does not automatically justify reducing factual verification or transferring editorial authority to an automated system.
Investozora’s objective is to use appropriate technology while preserving the requirements of accurate financial journalism and accountable research.
Updates to This AI Disclosure
Investozora may revise this disclosure when its AI-assisted research methods, publishing practices, visual production tools, information-processing arrangements, or editorial responsibilities change.
Updates may also reflect developments in applicable law, official guidance, or the publication’s own standards for disclosure and verification.
The Last Updated date at the beginning of this page identifies the most recent substantive revision.
A revision to this policy should accurately describe the publication’s practices and should not introduce unsupported claims about technical safeguards, external certifications, or institutional capabilities. Investozora seeks to maintain consistency between its AI Disclosure and the actual methods used in editorial production.
Contact and AI Transparency Inquiries
For questions about Investozora’s AI-assisted editorial practices, source verification, numerical calculations, research transparency, or published material, contact editorial@investozora.com.
Readers reporting a possible factual error are encouraged to identify the relevant article, disputed statement, source reference, or numerical finding.
For correspondence concerning privacy, data handling, copyright, and other legal matters involving AI-assisted technologies, contact legal@investozora.com.
General publication inquiries may be directed to hello@investozora.com.
Professional correspondence intended for Founder and Editor Adarsha Dhakal may be sent to adarsha@investozora.com.
Additional information about Investozora’s founding, editorial responsibilities, and institutional purpose is available through About Investozora.
Our Continuing Commitment to Human Accountability
Investozora recognizes that financial journalism is judged by the accuracy of its information, the transparency of its sources, the soundness of its calculations, and the responsibility taken for its published conclusions.
Artificial intelligence can assist the production and presentation of research, but it does not possess independent authority to establish a government decision, validate an economic statistic, authenticate a quotation, or guarantee a financial outcome.
The publication’s responsibility is to ensure that its use of technology remains consistent with its commitment to identifiable evidence and accountable editorial judgment.
A factual claim should be supported by the appropriate original record. An independent calculation should be capable of meaningful examination. An analytical conclusion should remain distinguishable from the underlying facts.
Where AI contributes to the preparation of published work, that contribution does not remove the need for verification, accurate attribution, appropriate disclosure, or correction of material errors.
Investozora’s long-term commitment is to produce financial journalism and economic research that readers can independently examine, verify, and critically evaluate.
This AI Disclosure establishes the principles governing the publication’s use of artificial intelligence while preserving human editorial responsibility as the foundation of its reporting.