In the era of Artificial Intelligence (AI), the ChatGPT emerges as a multifaceted tool, ready to serve a myriad of purposes, from assisting in research to generating content creative and provide customer support.
However, this versatility does not come without challenges, and one of them is the issue of copyright. The growing notoriety of chatbots created by AI has brought with it a wave of concerns related to this point.
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In this sense, Michael Chabon, a renowned Pulitzer Prize winner, is just one of many authors who decided to confront this question directly with OpenAI's ChatGPT.
Michael filed a lawsuit against OpenAI together with a group of writers from the United States claiming that the chatbot, which even received a billion-dollar investment from Microsoft, misused its works to train the technology. Find out more below!
This class action lawsuit represents the third case of its kind brought by plaintiffs against OpenAI. So far, the company remains silent about the accusations.
Additionally, other technology giants such as Microsoft, Meta Platforms, and Stability AI are also facing similar lawsuits.
All allege irregularities and argue that AI uses copyrighted material available on the internet as a legitimate part of its training.
In the ChatGPT training process, literary works, plays and articles play a crucial role, being considered “the best examples of high-quality, long-form writing”.
The authors argue that their creations were incorporated into the ChatGPT training dataset without their authorization, allowing the system to accurately reproduce your works and generate texts that imitate your styles distinct.
This legal action not only seeks unspecified financial compensation to repair the damage, but also aims to put an end to the alleged “illegal and unethical business practices” carried out by OpenAI.
Ultimately, these cases indicate that we are facing a growing challenge at the intersection between creativity human and artificial intelligence, in which the balance between innovation and copyright protection becomes increasingly complex.
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