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Aid groups scolded for fundraising on AI 'poverty porn'
Researchers accuse tech firms of profiting from exploitative AI imagery The starving child whose picture broke your heart when you saw it on a charity website may not be real. Global health researchers say that stock image companies like Adobe are profiting from AI-generated "poverty porn" that
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Aid Agencies Are Using AI Images Instead of Real Photos
AI-generated images are rapidly replacing traditional photography in portraying extreme poverty, while stock photo websites are increasingly flooded with visuals created using Midjourney, Stable Diffusion, and other image generators. In an article for The Lancet, researcher Arsenii Alenichev calls
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AI-generated 'poverty porn' fake images being used by aid agencies
Exclusive: Pictures depicting the most vulnerable and poorest people are being used in social media campaigns in the sector, driven by concerns over consent and cost AI-generated images of extreme poverty, children and sexual violence survivors are flooding stock photo sites and increasingly being
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Charities Using AI-Generated Photos of Starving Children to Raise Money
The scenes are grisly: stick-thin children huddling together in a muddy stream, white volunteers surrounded by throngs of starving Africans, and Arab children in refugee camps holding tin bowls. The only problem? None of them are real. In a macabre phenomenon sweeping the world's leading
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Aid agencies and charities are increasingly using AI-generated images of extreme poverty for fundraising, sparking ethical concerns and debates about representation and consent in the digital age.

In a concerning trend, aid agencies and charities are increasingly turning to AI-generated images of extreme poverty for their fundraising campaigns. This shift, dubbed 'poverty porn 2.0' by researchers, has sparked a heated debate about ethics, representation, and consent in the digital age
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.Arsenii Alenichev, a researcher at the Institute of Tropical Medicine in Antwerp, Belgium, has collected over 100 AI-generated images used by individuals or NGOs in social media campaigns against hunger or sexual violence. These images often depict exaggerated, stereotype-perpetuating scenes, such as children huddled in muddy water or African girls in wedding dresses with tears staining their cheeks
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.The use of AI-generated imagery in charity campaigns raises several ethical concerns. Critics argue that these images perpetuate harmful stereotypes and reduce complex social issues to simplistic, emotionally manipulative visuals. Moreover, the ease of creating AI images has led some organizations to bypass the ethical considerations typically associated with photographing real people in vulnerable situations
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.Noah Arnold of Fairpicture, a Swiss-based organization promoting ethical imagery in global development, notes, "Some are actively using AI imagery, and others, we know that they're experimenting at least"
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.Popular stock photo websites like Adobe Stock and Freepik have become repositories for these AI-generated images of poverty. A search for "poverty" on these platforms yields numerous AI-created visuals, often with captions like "Photorealistic kid in refugee camp" or "Asian children swim in a river full of waste"
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.Joaquín Abela, CEO of Freepik, argues that the responsibility for using such extreme images lies with media consumers, not the platforms. However, this stance has been criticized by those who believe platforms should take a more active role in curating content
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Several high-profile organizations have faced backlash for their use of AI-generated imagery:
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.As the debate continues, many in the sector are calling for clearer guidelines and ethical standards for the use of AI-generated imagery in charity campaigns. Kate Kardol, an NGO communications consultant, expresses concern: "It saddens me that the fight for more ethical representation of people experiencing poverty now extends to the unreal"
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.The challenge for the humanitarian sector moving forward will be to balance the need for impactful storytelling with ethical considerations, ensuring that their campaigns do not perpetuate harmful stereotypes or exploit the very people they aim to help.
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26 Feb 2025•Science and Research

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