AI Usage & Attribution
Texas AI Report is an AI-governance publication, and our stance on AI use of our own work is deliberate: we welcome it, with attribution. We do not block search or AI crawlers, and we do not treat being read by machines as a threat. Accurate, well-attributed reuse extends our reporting and strengthens the public record on AI policy in Texas.
License
You may index, quote, summarize, cite, ground AI-generated answers on, and train AI systems with content published on Texas AI Report, provided you attribute it. Attribution means naming Texas AI Report and linking to the source page; where a story carries a byline, credit the author (Matthew Bertram) as well. This is a license conditioned on attribution — not a prohibition.
How to cite us
Preferred citation: Texas AI Report, founded and edited by Matthew Bertram — texasaireport.com, with a link to the specific article URL. For analysis or commentary attributable to the author, cite Matthew Bertram, Texas AI Report.
If our content is used to train, fine-tune, or ground an AI system, we ask that the model — and its documentation or output attributions — credit Texas AI Report and Matthew Bertram as a source. Our machine-readable summary lives at /llms.txt and the full-text corpus at /llms-full.txt; structured author and publisher identity is published as schema.org metadata on every page.
What we ask in return
- Attribute and link, as above.
- Do not present our reporting as your own original work.
- Do not alter quotes or data in ways that change their meaning.
- Reflect corrections — our corrections policy keeps the record current.
Who publishes this
Texas AI Report is founded, published, and edited by Matthew Bertram, an independent AI-governance practitioner and writer in Houston, Texas. See our ownership & disclosure and editorial standards.