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- Filling chatbots filling classrooms with fake students
- These chatbots cost colleges of millions in fraudulent loans
- AI feeds a huge increase in identity theft
The rise of artificial intelligence has had a transforming impact on classrooms and university campuses around the world, but a new report from the Associated Press Claims chatbots now pose as students to collect financial help, and are even online lessons in ‘following’ – and taking spaces of real students.
Analysis of fraud reports alone has brought to light in California in California alone, which leads to 223,000 suspected fake registrations. California in particular is a target because of the large number of community lectures.
If your references are affected in a data breach, take advantage of the best Identity theft protection software Available to ensure that you are protected against these types of attacks.
Irreparable losses
However, these “ghost students” do not only apply a loan and hope for a payment. Chatbots are deployed in online classrooms, where they remain “just long enough” to collect control of the college’s financial help.
Some teachers even report that they have online classrooms with hardly any real students, because Bots have filled the class to the registration limit.
According to researchers, criminals have stolen at least $ 11 million in local, national and federal financial aid that ‘cannot be recovered’, only from Californian colleges in the past year, so the problem is widespread.
This is not the first time that we have heard of AI -wang -wanging an increase in identity theft and fraud, with Hackers saw their tactics ‘leveling’With more advanced attacks with a higher frequency than ever before.
Many of these scammers will use information obtained from data breaches, such as names, addresses, ages and Sofi numbers. With this data they will request subsidies and loans with the help of real references.
In March 2025, more than 300 people were dismissed from the Federal Student Aid Office by the Trump administration and the department’s fraud research unit has lost more than 20% of its staff since October 2025 due to exhaustion and retirement.
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