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Editorial Policy

How Data Cube AI Curates Intelligence

Our editorial policy is built around attribution, clear summaries, source traceability, and conservative labeling of AI-assisted content.

Last reviewed: May 24, 2026

01

Selection Criteria

Items are selected for relevance to AI technology, AI business, AI capital formation, applied workflows, policy, infrastructure, and developer practice.

  • We prioritize source-backed developments over generic commentary.
  • We avoid publishing items when the underlying source is unavailable or too ambiguous to summarize responsibly.
  • We separate video items from text items when the primary source format is video.
02

Attribution

Each news item should retain source attribution whenever the source is available. External links belong to the original publisher; Data Cube AI period pages are the canonical pages for our summaries.

03

Summaries

Summaries are written to preserve the factual substance of the source while making the item easier to scan. We avoid representing summaries as original reporting unless that is explicitly true.

04

Conflicts And Monetization

The product may include free tools, newsletter signup, or commercial contact flows. Editorial summaries should not be shaped by those conversion goals.

05

Corrections

When we identify a material error, we update the affected content or remove the item. The corrections process is documented on the corrections page.