edtech

EDUCAUSE

Name: Calibrated Authority rating — EDUCAUSE
Item: EDUCAUSE — public generative-AI policy
Rating: 3
Author: Chris Huber Reitz

3/12Calibrated Authority

“Beyond the problem of false accusations, this environment also creates an untenable situation for students who must somehow defend themselves against a machine that cannot show its work but is just a projection.”— Cross-Campus Approaches to Building a Generative AI Policy, EDUCAUSE Review · source ↗

Traceability & inspectability

Human authorship & accountability

Disclosure & labeling

Synthetic-identity / fabrication prohibition

Human validation in loop

Evidential-trust emphasis

Posture Balanced Boundary fit · contradicts Trust-logic Relational ⚑ twilight framing Updated 2026-07-26 · rev 2

Source policy: https://er.educause.edu/articles/2023/12/cross-campus-approaches-to-building-a-generative-ai-policy

Machine record: /institutions/educause.json

Cite this

Reitz, C.H. (2026). The Calibrated Authority Index — EDUCAUSE. https://calibrated-authority.chrishuberreitz.com/institutions/educause Quote: “Beyond the problem of false accusations, this environment also creates an untenable situation for students who must somehow defend themselves against a machine that cannot show its work but is just a projection.” Source: https://er.educause.edu/articles/2023/12/cross-campus-approaches-to-building-a-generative-ai-policy

Index Methodology Manifest JSON atom CC-BY-4.0 · v2026-09-08 · Chris Huber Reitz