RAISE 2025 Ethics and Risk Matrix

Product or Programme · All products and programmes
Evidence · 2 claims (2 for) · 2 studies (2 review), q2 · 0 of 2 report an effect size · 2 claims rest on one study

Description

A supplementary fillable framework proposed by Allison (2026) for authors to identify, assess, and report ethical risks and mitigation strategies in educational AI studies.

Components

• RAISE 2025 Ethics and Risk Matrix for surfacing under-reported AI risks: The RAISE 2025 Ethics and Risk Matrix (Figure 2) is a supplementary fillable table complementing the core checklist. The article states "the RAISE 2025 Ethics and Risk Matrix invites authors to go further by critically reflecting on the diverse and often under-reported risks that can emerge when AI is deployed in educational contexts," including risks to learner agency, equity in access, data governance, and algorithmic transparency. Authors identify relevant risks by thematic category and describe potential impacts and mitigation strategies. "While its use is optional, we strongly recommend its inclusion, especially for studies involving generative or adaptive AI tools, complex student interactions, or deployment at scale." (Allison (2026))

Claims

• Common risks of AI integration in nursing education include technological inequities, faculty preparedness gaps, and ethical concerns around privacy and bias [+W]
• The review identifies data privacy, algorithmic fairness, academic integrity, and unequal access as interconnected ethical concerns in AI-supported mathematics education [+W]

Related Products and Programmes

• RAISE 2025 Checklist (v1.0) with editable supplementary version
• RAISE 2025 Reporting Examples and Explanation document

Key Sources

• Allison, J. (2026). RAISE the Standard: A Framework for Transparent Reporting of Artificial Intelligence Studies in Education. Journal of Educational Computing Research, 64(1), 3-15. https://doi.org/10.1177/07356331251377430

Page metadata

Field	Value
type	product
id	raise-2025-ethics-and-risk-matrix
title	RAISE 2025 Ethics and Risk Matrix
description	A supplementary fillable framework proposed by Allison (2026) for authors to identify, assess, and report ethical risks and mitigation strategies in educational AI studies.
status	review
product_kind	framework
generated	by process:settle-candidates on 2026-10-12
trust	unverified — no one has confirmed this page's content

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