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UN Women Warns AI Expansion Heightens Gender Discrimination and Digital Violence
Artificial intelligence, once celebrated for its promise, now carries a darker underbelly that UN Women says could leave women more vulnerable to discrimination and digital violence. On 24 June 2026, the United Nations entity dedicated to gender equality issued a warning that the rapid global growth of AI is amplifying the risk of bias and online abuse against women.
The advisory cites a review published in the Stanford Social Innovation Review that examined 133 AI systems worldwide. The study found that 44 percent exhibited gender bias, and 26 percent displayed both gender and racial bias. A separate investigation by UNESCO into large language models (LLMs) revealed that 20 percent of LLM responses were sexist or misogynistic. The models repeatedly associated women with “home,” “family,” and “children,” while men were linked to “business,” “executive,” and “career.” These findings suggest that AI systems mirror existing societal stereotypes rather than presenting neutral knowledge.
UN Women warned that AI’s amplification of gender stereotypes can worsen online abuse. Nearly one in four women who are human‑rights defenders, activists, or journalists reported experiencing AI‑assisted online violence. Twelve percent of respondents said they had been subjected to non‑consensual sharing of personal images, while six percent were targeted through deepfakes or manipulated media. More than one in four also received unsolicited sexual advances via digital messaging.
The organization highlighted that the design and deployment of AI systems often exclude women. Osama Manzar, founder of the Digital Empowerment Foundation, said the question is not whether women use AI but whether they are represented in the teams that build, test, and deploy it. He added that AI built on biased data will amplify those biases.
In terms of policy, UN Women’s report shows that only 24 of 138 countries referenced gender in their national AI strategies, and just 18 included substantive gender‑responsive provisions to detect stereotypes, broaden representation, and improve accessibility.
The advisory comes ahead of two major UN events. The UN Global Dialogue on AI Governance is scheduled for 6–7 July, and the AI for Good Global Summit in Geneva will run from 7–10 July. Both forums are expected to address issues of AI ethics, governance, and the protection of vulnerable groups.
Jibu Elias, India lead at the Mozilla Foundation, noted that AI models are not intentionally sexist but mirror the data they are trained on. She emphasized that the challenge is for AI to keep pace with evolving social norms.
UN Women’s warning underscores the need for inclusive AI development, stronger regulatory frameworks, and targeted measures to prevent digital violence. The organization calls for immediate action to address gender biases in AI systems and to protect women from AI‑enabled abuse.
The current situation highlights a gap between the rapid deployment of AI technologies and the pace of policy responses that consider gender. Upcoming global dialogues may shape future regulations, but the advisory stresses that without substantive changes in AI design and data practices, women will continue to face heightened discrimination and digital violence.
The advisory remains a call to action for governments, industry, and civil society to integrate gender‑responsive measures into AI development and governance.
The advisory cites a review published in the Stanford Social Innovation Review that examined 133 AI systems worldwide. The study found that 44 percent exhibited gender bias, and 26 percent displayed both gender and racial bias. A separate investigation by UNESCO into large language models (LLMs) revealed that 20 percent of LLM responses were sexist or misogynistic. The models repeatedly associated women with “home,” “family,” and “children,” while men were linked to “business,” “executive,” and “career.” These findings suggest that AI systems mirror existing societal stereotypes rather than presenting neutral knowledge.
UN Women warned that AI’s amplification of gender stereotypes can worsen online abuse. Nearly one in four women who are human‑rights defenders, activists, or journalists reported experiencing AI‑assisted online violence. Twelve percent of respondents said they had been subjected to non‑consensual sharing of personal images, while six percent were targeted through deepfakes or manipulated media. More than one in four also received unsolicited sexual advances via digital messaging.
The organization highlighted that the design and deployment of AI systems often exclude women. Osama Manzar, founder of the Digital Empowerment Foundation, said the question is not whether women use AI but whether they are represented in the teams that build, test, and deploy it. He added that AI built on biased data will amplify those biases.
In terms of policy, UN Women’s report shows that only 24 of 138 countries referenced gender in their national AI strategies, and just 18 included substantive gender‑responsive provisions to detect stereotypes, broaden representation, and improve accessibility.
The advisory comes ahead of two major UN events. The UN Global Dialogue on AI Governance is scheduled for 6–7 July, and the AI for Good Global Summit in Geneva will run from 7–10 July. Both forums are expected to address issues of AI ethics, governance, and the protection of vulnerable groups.
Jibu Elias, India lead at the Mozilla Foundation, noted that AI models are not intentionally sexist but mirror the data they are trained on. She emphasized that the challenge is for AI to keep pace with evolving social norms.
UN Women’s warning underscores the need for inclusive AI development, stronger regulatory frameworks, and targeted measures to prevent digital violence. The organization calls for immediate action to address gender biases in AI systems and to protect women from AI‑enabled abuse.
The current situation highlights a gap between the rapid deployment of AI technologies and the pace of policy responses that consider gender. Upcoming global dialogues may shape future regulations, but the advisory stresses that without substantive changes in AI design and data practices, women will continue to face heightened discrimination and digital violence.
The advisory remains a call to action for governments, industry, and civil society to integrate gender‑responsive measures into AI development and governance.
