Editorial & AI Ethics Policy

1. Human Authorship & Accountability

We do not publish unvetted, auto-generated synthetic blog content. Every article, essay, or field report published on The Indox AI carries a named byline of a real author or technical contributor who takes personal and professional accountability for the claims made.

Our resident writers—including engineers and technology researchers—possess hands-on domain experience with the algorithms, APIs, and frameworks they analyze.

2. Policy on Artificial Intelligence Usage in the Newsroom

As an artificial intelligence publication, we actively utilize modern AI tools in our workflow, but with strict guardrails:

• Permitted Uses: Our writers may use AI models for preliminary background research, synthesizing academic papers, formatting data tables, proofreading syntax, or generating test code for verification.
• Prohibited Uses: We do not allow generative AI to draft entire articles, fabricate sources, generate subjective opinions, or write evaluations of AI models without direct human testing.
• Verification: Any technical claim, benchmark data, or quote surfaced with the aid of an LLM must be independently corroborated by our human editors against primary documentation.

3. Uncompromising Editorial Independence

We operate with absolute editorial autonomy:

• Zero Pay-to-Play: No company, model developer, or vendor can pay to have their tool covered, favorably ranked, or reviewed on The Indox AI.
• No Sponsored Dofollow Links: We never sell backlink placements or participate in private blog network (PBN) schemes.
• Direct Software Testing: When we review AI developer tools or API endpoints, we create our own evaluation accounts and test real engineering workflows.

4. Code Reproducibility & Benchmark Integrity

Because artificial intelligence frameworks evolve rapidly, any benchmark or code tutorial published on our site must adhere to reproducibility standards:

• We state the exact software versions, hardware configurations, and model versions tested.
• We document prompt templates, temperature parameters, and system instructions when evaluating LLM outputs.
• We explicitly highlight known edge cases, failure rates, and pricing or token cost implications.

5. Corrections & Revision Policy

Accuracy is our foundational metric. When an article contains a factual error or outdated code example:

• We correct the text promptly.
• For substantial corrections, we append an editorial note at the bottom of the article indicating the date and specific nature of the change.
• Minor typographical fixes that do not change meaning are made silently.

Readers who spot an error are invited to contact our editorial desk via our contact form or by emailing theindoxai@gmail.com.