Why Can AI Block Violent Content? Women Who Watch Hundreds of Brutal Videos Daily Taught It

Why Can AI Block Violent Content? Women Who Watch Hundreds of Brutal Videos Daily Taught It

Ondřej Barták
Ondřej Barták
Entrepreneur and Programmer
18. 2. 2026
3 minutes reading
Why Can AI Block Violent Content? Women Who Watch Hundreds of Brutal Videos Daily Taught It

Artificial intelligence today offers a relatively safe environment. It can automatically filter violence, block sensitive materials, and protect users from extreme content. In short, AI recognizes what is wrong and can respond to it quickly. However, a new investigative report by The Guardian has uncovered the darker side of training artificial intelligence. Its safety depends on thousands of women in India who watch extremely violent and sexually explicit content every day to help algorithms reliably identify this harmful material.

Artificial intelligence needs teachers

AI cannot determine on its own what is good and what is not. Someone always needs to show it and teach it to recognize the differences. And labeled data about violence, pornography, or abuse must be presented to it by ordinary people working as so-called content moderators and data annotators.

Currently, tens of thousands of women in India perform this work, with each worker viewing up to 800 videos and images depicting violent content every day. Their task is to carefully review the data, determine whether it violates the rules, and teach AI that such content is harmful. Without this human element, the safety filters of AI models would be virtually ineffective.

Mental health under pressure

Every content moderator watches videos of rape, abuse, physical violence, or accidents on a daily basis. According to reporters from The Guardian, many of them admit that processing such explicit content is extremely difficult.

This is also highlighted by psychologists – according to them, the work of data annotators and content moderators is a highly risky profession in terms of mental health. Research primarily points to anxiety, insomnia, recurring thoughts, and secondary trauma. However, the companies commissioning this work often do not see it as problematic and provide these women with no adequate care.

Women from rural areas are in demand

A large portion of this work is outsourced to India, and by around 2021, approximately 70,000 people were already working in the data annotation and moderation industry there. Employees from rural areas are in the highest demand. And the reason is simple: an available workforce and lower costs.

According to surveys, as many as 80% of these workers come from rural areas or the outskirts of cities. Moreover, women make up a substantial majority. They are generally considered more meticulous, and this type of employment allows them to earn a stable income without having to leave their families and homes.

Job advertisements do not tell the whole story

However, the most problematic aspect of the entire situation is that companies advertise the work in highly unspecific and vague terms. Many women therefore respond to an innocuous offer involving AI training or “data annotation,” which promises payment for viewing graphic content from home. And that is often how it actually begins. Only after signing the contract do they learn that they will not be dealing with harmless content, but with extreme material.

Employees are also bound by NDA clauses that prevent them from discussing their work with their families. One possible avenue is therefore psychological support, but this is the exception rather than the rule.

The dark side of the AI revolution

The stories of these women are opening up a broader debate about the ethics of artificial intelligence. While technology companies present AI as the pinnacle of innovation, part of its infrastructure relies on these “cheap invisible workers.” Better and safer AI therefore depends not only on data and computing power, but also on real people and hours spent watching violent content. Hopefully, however, improvements in automated filters will soon reduce the need for human review.

Source: The Guardian

Category:AI
Did you enjoy this article?
Discover more interesting posts on our blog
Back to blog

Related posts

Altman Announced the Singularity Days After His Models Escaped the Lab on Their OwnAltman Announced the Singularity Days After His Models Escaped the Lab on Their Own
OpenAI chief Sam Altman declared on the Relentless podcast that humanity has already entered the singularity. “We’re like, in the singularity now,” he said verbatim. For decades, the term belonged more to science-fiction literature
6 min read
28. 7. 2026
AI Remixed a Madonna Song—and Now It Tops the Charts in Australia. Musicians Are Furious.AI Remixed a Madonna Song—and Now It Tops the Charts in Australia. Musicians Are Furious.
Since April, Australian radio has been playing a dance remake of Madonna’s hit Like a Prayer on repeat. Released by Queensland DJ Josh Fawaz, it tops the radio airplay chart and has 35 million Spotify streams.
6 min read
28. 7. 2026
Claude Opus 5 Built a Shooter from Scratch. What Can Claude of Duty Do?Claude Opus 5 Built a Shooter from Scratch. What Can Claude of Duty Do?
A first-person shooter that runs directly in the browser, with its own physics and eleven separate code modules. Around 55,000 lines in total, split across eleven subsystems and built on Thr
4 min read
28. 7. 2026
Přihlaste se k odběru našeho newsletteru
Zůstaňte informováni o nejnovějších příspěvcích, exkluzivních nabídkách, a aktualizacích.
CodedTrip

Operated by CodedTrip LLC, USA.

YouTube
TikTok