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“Details of this incident will be reviewed further and you may be contacted by law enforcement for questioning.” The warning can vary based on the conversation, if, for example, a potential buyer expresses an interest in someone underage.

Microsoft employees built the bot in a philanthropic initiative called Project Intercept, in collaboration with nonprofits that hope it can reduce demand for sex workers, and the incentives for criminals to coerce people into the sex trade.

Some chatbots offer a remarkably authentic conversational experience, in which it’s very difficult to determine whether the agent is a bot or a human being.

They used the company’s Azure cloud platform to build an improved version of Microsoft technology called Photo DNA that automatically detects and reports images of child exploitation.

Before long, 40 colleagues had joined to volunteer on the project.

At the heart of chatbot technology lies natural language processing or NLP, the same technology that forms the basis of the voice recognition systems used by virtual assistants such as Google Now, Apple’s Siri, and Microsoft’s Cortana.

Chatbots process the text presented to them by the user (a process known as “parsing”), before responding according to a complex series of algorithms that interprets and identifies what the user said, infers what they mean and/or want, and determine a series of appropriate responses based on this information.

The software initially pretends to be the person in the ad, and can converse about its purported age, body, fetish services, and pricing.

But if a would-be buyer signals an intent to purchase sex, the bot pivots sharply into a stern message.“Buying sex from anyone is illegal and can cause serious long term harm to the victim, as well as further the cycle of human trafficking,” goes one such message.

Limitations of the software have produced mixed results for businesses, but the deter-o-bot has proven good enough at its job.“It helps that the guys who are buying sex are not paying much attention to the human being on the other end of the phone,” says Beiser, of Seattle Against Slavery.

Microsoft itself stumbled with its Tay research chatbot that accidentally started talking dirty, but the sex-trade bot does not learn from people it talks to in the same way.

Seattle Against Slavery is also distributing a second service developed by Project Intercept, called Victim Reachout.

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