Datasets:

chrishuberreitz
/

calibrated-authority-index

id string	name string	segment string	url string	D1 int64	D2 int64	D3 int64	D4 int64	D5 int64	D6 int64	ca int64	posture string	c2_fit string	c3 string	twilight bool	verify string
uf-cpic	UF Center for Public Interest Communications	research-center	https://realgoodcenter.jou.ufl.edu/about/ai/	2	2	2	2	2	2	12	Prohibitive	fits	Both-split	true	ok
springer-nature	Springer Nature / Nature	publisher	https://www.nature.com/nature-portfolio/editorial-policies/ai	2	2	2	2	2	2	12	Prohibitive	fits	Both-split	true	ok
elsevier	Elsevier	publisher	https://www.elsevier.com/about/policies-and-standards/the-use-of-generative-ai-and-ai-assisted-technologies-in-writing-for-elsevier	2	2	2	2	2	2	12	Balanced	fits	Both-split	false	ok
wiley	Wiley	publisher	https://onlinelibrary.wiley.com/pb-assets/assets/15405885/Generative%20AI%20Policy_September%202023-1695231878293.pdf	2	2	2	2	2	2	12	Enabling	fits	Both-split	true	primary-verified-2026-06-22
taylor-francis	Taylor & Francis	publisher	https://taylorandfrancis.com/our-policies/ai-policy/	2	2	2	2	2	2	12	Enabling	fits	Both-split	true	primary-verified-2026-06-22
science-aaas	Science / AAAS	publisher	https://www.science.org/content/page/science-journals-editorial-policies	1	2	2	2	2	1	10	Balanced	fits	Both-split	false	secondary-blocked
icmje	ICMJE	med-integrity	https://www.icmje.org/recommendations/browse/roles-and-responsibilities/defining-the-role-of-authors-and-contributors.html	2	2	2	2	2	2	12	Balanced	fits	Both-split	false	ok
cope	COPE	pub-ethics	https://publicationethics.org/guidance/cope-position/authorship-and-ai-tools	1	2	2	0	1	1	7	Balanced	fits	Relational	false	ok
plos	PLOS	publisher	https://journals.plos.org/plosone/s/ethical-publishing-practice	2	2	2	2	2	2	12	Balanced	fits	Evidential	false	primary-verified-2026-06-22
poynter	Poynter Institute	journalism	https://www.poynter.org/ai-ethics-journalism/ai-ethics-guidelines/	2	1	2	2	2	2	11	Balanced	fits	Evidential	true	ok
reuters-institute	Reuters Institute (Oxford)	journalism-research	https://reutersinstitute.politics.ox.ac.uk/generative-ai-and-news-report-2025-how-people-think-about-ais-role-journalism-and-society	1	1	1	0	1	1	5	Balanced	partially	Both-split	true	ok
columbia-tow	Columbia / Tow Center	journalism-research	https://journalism.columbia.edu/CJS2030/AI	1	2	1	1	2	1	8	Balanced	fits	Both-split	true	ok
ap	Associated Press	journalism	https://ds.svcs.associatedpress.com/standards-around-generative-ai	1	2	1	2	2	2	10	Balanced	fits	Evidential	false	secondary-blocked
harvard	Harvard University	university	https://provost.harvard.edu/guidelines-using-chatgpt-and-other-generative-ai-tools-harvard	1	2	1	1	2	1	8	Balanced	fits	Evidential	true	ok
stanford	Stanford University	university	https://communitystandards.stanford.edu/policies-guidance	1	2	2	1	1	2	9	Balanced	fits	Both-split	true	ok
mit	MIT	university	https://ist.mit.edu/ai-guidance	1	2	2	1	1	1	8	Balanced	fits	Evidential	true	ok
umich	University of Michigan	university	https://genai.umich.edu/resources/faculty/course-policies	2	2	1	1	2	2	10	Enabling	fits	Evidential	true	ok
russell-group	Russell Group (UK)	university-consortium	https://www.russellgroup.ac.uk/policy/policy-briefings/principles-use-generative-ai-tools-education	1	1	1	1	1	2	7	Enabling	partially	Evidential	false	ok
mla-cccc	MLA-CCCC Task Force	education	https://aiandwriting.hcommons.org/working-paper-1/	2	2	2	1	2	1	10	Balanced	fits	Both-split	false	ok
acm	ACM	computing-society	https://www.acm.org/publications/policies/new-acm-policy-on-authorship	2	2	1	2	2	2	11	Balanced	fits	Both-split	false	primary-verified-2026-06-22
apa	APA	society-publisher	https://www.apa.org/pubs/journals/resources/publishing-tips/policy-generative-ai	2	2	2	2	2	1	11	Balanced	fits	Both-split	false	ok
yale	Yale University	university	https://provost.yale.edu/news/guidelines-use-generative-ai-tools	1	2	2	1	2	1	9	Balanced	fits	Both-split	false	ok
princeton	Princeton University	university	https://rrr.princeton.edu/students-and-university/24-academic-regulations	2	2	2	2	1	2	11	Balanced	fits	Both-split	false	ok
uc-berkeley	University of California, Berkeley	university	https://oercs.berkeley.edu/appropriate-use-generative-ai-tools	1	1	1	1	1	1	6	Balanced	partially	Evidential	false	ok
cornell	Cornell University	university	https://it.cornell.edu/ai/ai-guidelines	1	2	1	1	2	1	8	Enabling	fits	Both-split	false	ok
carnegie-mellon	Carnegie Mellon University	university	https://www.cmu.edu/teaching/technology/aitools/academicintegrity/index.html	2	2	2	1	2	2	11	Prohibitive	fits	Both-split	false	ok
georgia-tech	Georgia Institute of Technology	university	https://provost.gatech.edu/sites/default/files/2025-10/AI%20Policy_draft_10.14.2025%202.pdf	2	2	2	2	2	2	12	Enabling	fits	Evidential	true	ok
u-toronto	University of Toronto	university	https://www.viceprovostundergrad.utoronto.ca/wp-content/uploads/2024/08/Syllabus-language-for-Gen-AI-2024-08-21.pdf	2	2	2	1	2	2	11	Balanced	fits	Evidential	true	ok
cambridge	University of Cambridge	university	https://www.educationalpolicy.admin.cam.ac.uk/plagiarism-and-academic-misconduct/artificial-intelligence-ai	1	2	2	1	2	1	9	Balanced	fits	Both-split	true	ok
ucl	University College London	university	https://www.ucl.ac.uk/teaching-learning/generative-ai-hub/three-categories-genai-use-assessment	1	2	2	1	2	1	9	Enabling	fits	Both-split	true	ok
asu	Arizona State University	university	https://tlc.sols.asu.edu/teaching/toolkits/syllabus-and-policies-generative-ai	1	2	2	0	2	1	8	Balanced	fits	Both-split	true	ok
cambridge-up	Cambridge University Press	publisher	https://www.cambridge.org/core/services/publishing-ethics/authorship-and-contributorship-journals	1	2	2	1	2	1	9	Balanced	fits	Both-split	false	ok
oxford-up	Oxford University Press	publisher	https://academic.oup.com/pages/for-authors/books/author-use-of-artificial-intelligence	2	2	2	2	2	2	12	Balanced	fits	Evidential	true	ok
sage	SAGE Publishing	publisher	https://www.sagepub.com/journals/publication-ethics-policies/artificial-intelligence-policy	2	2	2	2	2	2	12	Balanced	fits	Evidential	true	ok
ieee	IEEE	computing-society	https://open.ieee.org/author-guidelines-for-artificial-intelligence-ai-generated-text/	2	2	2	2	1	2	11	Balanced	fits	Both-split	false	ok
pnas	PNAS	publisher	https://www.pnas.org/author-center/editorial-and-journal-policies	2	2	2	2	2	2	12	Balanced	fits	Evidential	true	ok
jama	JAMA Network	med-journal	https://jamanetwork.com/journals/jama/fullarticle/2807956	2	2	2	1	1	2	10	Balanced	fits	Both-split	true	ok
nejm	New England Journal of Medicine	med-journal	https://ai.nejm.org/about/editorial-policies	1	2	2	1	2	1	9	Balanced	fits	Both-split	false	ok
wame	World Association of Medical Editors	med-integrity	https://wame.org/page3.php?id=106	2	2	2	2	2	2	12	Balanced	fits	Both-split	true	ok
cse	Council of Science Editors	science-editors	https://www.csescienceeditor.org/article/cse-guidance-on-machine-learning-and-artificial-intelligence-tools/	2	2	2	1	1	2	10	Balanced	fits	Both-split	true	ok
royal-society	The Royal Society	society-publisher	https://royalsociety.org/journals/ethics-policies/openness/	1	2	2	2	2	1	10	Balanced	fits	Both-split	true	ok
bbc	BBC	journalism	https://www.bbc.co.uk/editorialguidelines/guidance/use-of-artificial-intelligence	2	2	2	2	2	2	12	Balanced	fits	Both-split	true	ok
reuters-news	Reuters (news agency)	journalism	https://www.thomsonreuters.com/en/about-us/trust-principles	2	2	1	2	2	2	11	Balanced	fits	Evidential	false	ok
guardian	The Guardian	journalism	https://uploads.guim.co.uk/2026/03/03/Editorial_Code_of_Practice_Guidelines_March2026.pdf	2	2	2	1	2	2	11	Balanced	fits	Both-split	true	ok
nyt	The New York Times	journalism	https://www.nytco.com/press/principles-for-using-generative-a.i.-in-the-timess-newsroom/	2	2	2	2	2	2	12	Prohibitive	fits	Both-split	true	secondary-blocked
spj	Society of Professional Journalists	journalism	https://www.spj.org/spj-code-of-ethics/	2	1	2	1	1	2	9	Balanced	fits	Evidential	false	ok
arl	Association of Research Libraries	library	https://www.arl.org/resources/research-libraries-guiding-principles-for-artificial-intelligence/	1	1	0	1	1	1	5	Enabling	partially	Both-split	true	ok
educause	EDUCAUSE	edtech	https://er.educause.edu/articles/2023/12/cross-campus-approaches-to-building-a-generative-ai-policy	0	1	1	0	0	1	3	Balanced	contradicts	Relational	true	ok
unesco	UNESCO — GenAI in education & research	intergov	https://www.unesco.org/en/articles/guidance-generative-ai-education-and-research	1	2	1	2	2	1	9	Prohibitive	partially	Relational	true	ok
oecd	OECD AI Principles	intergov	https://oecd.ai/en/ai-principles	2	2	2	1	1	2	10	Enabling	fits	Evidential	false	ok
us-doe-oet	US Dept of Education (OET)	gov-education	https://www.ed.gov/sites/ed/files/documents/ai-report/ai-report.pdf	1	2	1	1	2	1	8	Balanced	partially	Both-split	true	ok

The Calibrated Authority Index™

51 knowledge institutions, coded on how they construct trust in AI. Version 2026-06-22 · mean Calibrated Authority 9.8/12 · CC-BY-4.0

Nature, JAMA, the BBC, Oxford, UNESCO and dozens more wrote public rules for generative AI. Read together they reveal one pattern none of them named: they permit AI where its work can be cheaply checked, and reserve for a human the work that can't be. This dataset is that pattern, made measurable — each policy scored on six dimensions into a single 0–12 number, anchored to the verbatim quote each score rests on. It is re-scored weekly as policies change.

Live site: https://calibrated-authority.chrishuberreitz.com
Methodology & how-to-cite: https://calibrated-authority.chrishuberreitz.com/methodology
Source repo (PRs / corrections): https://github.com/chrishuberreitz/calibrated-authority-index

Columns

column	meaning
`id`, `name`, `segment`	institution identity + category
`D1`	Traceability & inspectability (0–2)
`D2`	Human authorship & accountability (0–2)
`D3`	Disclosure & labeling (0–2)
`D4`	Synthetic-identity / fabrication prohibition (0–2)
`D5`	Human validation in loop (0–2)
`D6`	Evidential-trust emphasis (0–2)
`ca`	composite Calibrated Authority score, sum of D1–D6 (0–12)
`posture`	Prohibitive / Balanced / Enabling
`c2_fit`	does the policy land where the thesis predicts (fits / deviates)
`c3`	trust-logic: Evidential / Relational / Both-split / Neither
`twilight`	uses precedent-collapse / "twilight" framing
`url`	the source policy document

Load it

from datasets import load_dataset
ds = load_dataset("chrishuberreitz/calibrated-authority-index")
print(ds["train"][0])

Cite it

Reitz, C.H. (2026). The Calibrated Authority Index (version 2026-06-22). https://calibrated-authority.chrishuberreitz.com

License

CC-BY-4.0 — use it, cite it.

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