Governing GenAI through Redefinition, Regulation, and Innovation: Policy Responses in the Largest US School Districts

Sarah Liang; Yiran Hu; Xiaonan Ren; Jose Eos Trinidad

doi:10.1177/08959048261448552

Governing GenAI through Redefinition, Regulation, and Innovation: Policy Responses in the Largest US School Districts

Sarah Liang
, Yiran Hu
, Xiaonan Ren
, Jose Eos Trinidad

University of California, Berkeley

Research output: Contribution to journal › Article › peer-review

Original language	English
Journal	Educational Policy
DOIs	https://doi.org/10.1177/08959048261448552
State	Accepted/In press - 2026
Externally published	Yes

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 4 Quality Education

ASJC Scopus Subject Areas

Education

Keywords

Generative artificial intelligence
K-12 education policy
education technology
school districts

Access to Document

10.1177/08959048261448552

Cite this

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title = "Governing GenAI through Redefinition, Regulation, and Innovation: Policy Responses in the Largest US School Districts",

keywords = "Generative artificial intelligence, K-12 education policy, education technology, school districts",

author = "Sarah Liang and Yiran Hu and Xiaonan Ren and Trinidad, \{Jose Eos\}",

note = "Publisher Copyright: {\textcopyright} The Author(s) 2026. This article is distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 License (https://creativecommons.org/licenses/by-nc/4.0/) which permits non-commercial use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access pages (https://us.sagepub.com/en-us/nam/open-access-at-sage).",

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language = "English",

journal = "Educational Policy",

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T2 - Policy Responses in the Largest US School Districts

AU - Liang, Sarah

AU - Hu, Yiran

AU - Ren, Xiaonan

AU - Trinidad, Jose Eos

N1 - Publisher Copyright: © The Author(s) 2026. This article is distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 License (https://creativecommons.org/licenses/by-nc/4.0/) which permits non-commercial use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access pages (https://us.sagepub.com/en-us/nam/open-access-at-sage).

PY - 2026

Y1 - 2026

KW - Generative artificial intelligence

KW - K-12 education policy

KW - education technology

KW - school districts

UR - https://www.scopus.com/pages/publications/105039144419

UR - https://www.scopus.com/pages/publications/105039144419#tab=citedBy

U2 - 10.1177/08959048261448552

DO - 10.1177/08959048261448552

M3 - Article

AN - SCOPUS:105039144419

SN - 0895-9048

JO - Educational Policy

JF - Educational Policy

ER -

Governing GenAI through Redefinition, Regulation, and Innovation: Policy Responses in the Largest US School Districts

UN SDGs

ASJC Scopus Subject Areas

Keywords

Access to Document

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