Policy briefing report 1 view
Invisible No More: How AI Chatbots Are Reshaping Violence Against Women and Girls
Clare McGlynn 
,
Yvonne McDermott Rees,
Stuart Macdonald ,
Rüya Tuna Toparlak ,
Fabienne Tarrant,
Samantha Treacy
,
Yvonne McDermott Rees,
Stuart Macdonald ,
Rüya Tuna Toparlak ,
Fabienne Tarrant,
Samantha Treacy
Swansea University Authors:
Yvonne McDermott Rees, Stuart Macdonald , Samantha Treacy
Full text not available from this repository: check for access using links below.
DOI (Published version): 10.23889/SUreport.71633
Abstract
This report provides the first comprehensive mapping of how chatbots are implicated in violence against women and girls (VAWG), identifying new forms of harm - chatbot-driven and chatbot-simulated abuse. It develops a new typology to better understand, and then prevent and redress, the varying forms...
| Published: |
Durham University and Swansea University
2026
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| URI: | https://cronfa.swan.ac.uk/Record/cronfa71633 |
| Abstract: |
This report provides the first comprehensive mapping of how chatbots are implicated in violence against women and girls (VAWG), identifying new forms of harm - chatbot-driven and chatbot-simulated abuse. It develops a new typology to better understand, and then prevent and redress, the varying forms of chatbot-VAWG, namely chatbot-driven, chatbot-enabled, chatbot-simulated and chatbot-normalising abuse. It aims to render visible the very real harms and threats to the freedom and safety of women and girls. It identifies for the first time the range of platform design choices and policies that enable, encourage and normalise VAWG. It examines how far current legal and regulatory frameworks respond to these risks, exposing significant gaps. It sets out urgent recommendations for governments and AI platforms to address the escalating threat. |
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| Item Description: |
This report is accessible online at https://www.claremcglynn.com/ and through Durham University and Swansea University institutional research repositories. |
| College: |
Faculty of Humanities and Social Sciences |
| Funders: |
UKRI (grant number UKRI3600). |