Independent nonprofit research program

AI Understanding Research Group

We study how artificial-intelligence information is produced, sourced, organized, and understood. Our work combines computer science, public-interest data, source verification, and AI literacy.

Institution

AI Understanding

An independent U.S. 501(c)(3) nonprofit education and research organization. EIN 41-3273048.

Research lead

Alex Gonzalez

Founder and Research Program Lead

Contact

Research inquiries

[email protected]

Leadership and accountability

Principal-investigator equivalent

Alex Gonzalez founded AI Understanding and leads this research group. As Research Program Lead, he serves as the principal-investigator equivalent for the independent group: he is accountable for its research agenda, project selection, methods, publication standards, open-data commitments, and corrections.

This is an organizational research role, not a claim of a university faculty appointment or an academic degree. AI Understanding is independent and is not a university.

Active work

Public research projects

AI Security & Integrity Lab

Authorized defensive research on application security, software supply-chain risk, prompt-injection resilience, and information integrity.

View the security research program

AI News Observatory

A continuously updated study of AI news coverage, source domains, topic patterns, and the revision history of canonical stories.

View the observatory

Open AI Literacy Curriculum

A public framework that maps 30 AI-literacy competencies to courses, practice tasks, and applied capstones.

Explore the curriculum

Open research data

Record-level JSON and CSV releases with definitions, provenance, update dates, and public methodology for independent reuse.

Open the JSON dataset

Research practice

Methods and reproducibility

Traceable evidencePublished records retain canonical articles and primary evidence URLs.
Public definitionsMeasures, inclusion rules, limitations, and topic logic are documented.
Reusable outputsResearch data is released in stable machine-readable formats under CC BY 4.0.
CorrectionsMaterial changes follow a public corrections process and versioned methodology.