GenAI Safety for Civil Society and Organizations Supporting Marginalized Populations: Framework, Evaluation Methodology, and Transparency Guidance

Title:GenAI Safety for Civil Society and Organizations Supporting Marginalized Populations: Framework, Evaluation Methodology, and Transparency Guidance (2025) Description:This bundle contains a set of integrated contributions developed by Ashley Khor (AI in Common) to support emerging practices in GenAI safety evaluation for civil society contexts, with a particular focus on organizations serving marginalized and vulnerable populations. Contents include: GenAI Safety Evaluation Framework (conceptual model) Safety Evaluation Recommendations (practical guidance) Safety Rubric for participatory and internal testing Transparency Hub structure for safety-related user communications This version is now publicly shared to support active collaborations and academic citation. This work complements a separately published Literature Review of GenAI and AI Safety Frameworks [https://doi.org/10.5281/zenodo.15576021], which provides background context for the evaluation and transparency approaches presented here. If you are an organization or researcher interested in using or adapting this work, or in contributing to its further development through feminist-aligned and participatory methodologies, please contact the author via AI in Common.

Institutions

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-05-01
DOI
https://doi.org/10.5281/zenodo.15624893
Primary Topic
Ethics and Social Impacts of AI
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

GenAI Safety for Civil Society and Organizations Supporting Marginalized Populations: Framework, Evaluation Methodology, and Transparency Guidance

Zenodo (CERN European Organization for Nuclear Research)
Ethics and Social Impacts of AI
article

GenAI Safety for Civil Society and Organizations Supporting Marginalized Populations: Framework, Evaluation Methodology, and Transparency Guidance

article en

Abstract

Title:GenAI Safety for Civil Society and Organizations Supporting Marginalized Populations: Framework, Evaluation Methodology, and Transparency Guidance (2025) Description:This bundle contains a set of integrated contributions developed by Ashley Khor (AI in Common) to support emerging practices in GenAI safety evaluation for civil society contexts, with a particular focus on organizations serving marginalized and vulnerable populations. Contents include: GenAI Safety Evaluation Framework (conceptual model) Safety Evaluation Recommendations (practical guidance) Safety Rubric for participatory and internal testing Transparency Hub structure for safety-related user communications This version is now publicly shared to support active collaborations and academic citation. This work complements a separately published Literature Review of GenAI and AI Safety Frameworks [https://doi.org/10.5281/zenodo.15576021], which provides background context for the evaluation and transparency approaches presented here. If you are an organization or researcher interested in using or adapting this work, or in contributing to its further development through feminist-aligned and participatory methodologies, please contact the author via AI in Common.

Zenodo (CERN European Organization for Nuclear Research)
University of Pittsburgh (US)
Gender equality
Openalex Percentile: Top 48%
Ethics and Social Impacts of AI
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.