Editorial Standards

Trust is our currency. Our editorial standards define how we source, write, and review every piece of content on Global AI News.

1. Sourcing & Attribution

We believe in giving credit where it is due.

• Primary Sources: We prioritize linking directly to original research, official company announcements, and primary documentation.
• Clear Attribution: If we are citing another publication's report, we explicitly mention them by name and link to their article.
• No Plagiarism: We do not copy-paste. All content is rewritten, synthesized, and analyzed to add unique value and context.

2. Original Framing Requirement

We do not publish "commodity news." Every article must answer the question: "Why does this matter?"

Our writers are required to add:

• Context: Historical background or industry landscape.
• Analysis: Expert interpretation of the validitity and impact of the news.
• Forward-Looking insight: What happens next?

3. AI Usage Policy

We are transparent about our use of technology.

We use Artificial Intelligence tools to assist our workflow—summarizing vast amounts of data, checking grammar, and organizing feeds. However:

• Human Accountability: A human editor is responsible for every word published.
• No "AI Hallucinations": We verify all AI-suggested facts against primary sources.
• Assistive, Not Autonomous: AI is our tool, not our author.

4. Corrections Policy

We strive for 100% accuracy, but we are human.

• If we make a factual error, we will correct it immediately.
• Significant corrections will be noted at the top of the article with a timestamp.
• You can report errors directly to corrections@globalainews.in.

5. Conflict of Interest

Our editorial team does not accept payment in exchange for positive coverage. Contributor opinions are their own. Any sponsored content (if present) will be clearly labeled as "Sponsored."