As part of a legal process in the USA OpenAI signed chat bot ChatGPT lawyer, fined sentenced.
Productive AI-based chatbot ChatGPT, “GPTIt is trained with a language model called ” and this language model does not always give accurate results. In fact, the chat bot can often make mistakes even in some very basic issues, it is absolutely necessary not to blindly believe in the established system. This has happened in the past weeks a lawyer living in the USA He made it very clear to the whole world. Lawyer for the kidnappers from the law firm Levidow, Levidow and Oberman Steven Schwartzfor help writing a recent legal summary He resorted to OpenAI’s chatbot. Schwartz’s firm claims he was injured during a flight to New York’s John F. Kennedy International Airport. Roberto Mata sued Colombian airline Avianca on behalf of. The airline thought it was right and asked a federal judge to dismiss the case, and that’s where ChatGPT got involved. Mata’s lawyers, prepared a 10-page summary to show why the case should continue.
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In this summary, “Varghese v. China Southern Airlines”, “Martinez v. Delta Airlines” and “Miller v. of United Airlines including Numerous court decisions cited. However, these it wasn’t real because ChatGPT made it all up. The lawyer who admitted that he received help from ChatGPT in this matter and funnyly stated that he asked the chatbot to confirm the accuracy of the decisions. Steven Schwartz He said that he was unaware that ChatGPT could provide false information, that he deeply regretted using ChatGPT, and that he would never do so in the future without conclusively verifying its authenticity. The judge presiding over the case is that Schwartz’s actions are due to the unprecedented situation created. decided to hold a hearing to discuss any possible sanctions necessary. This hearing was held and the judge thanked the attorney himself, his partner Peter LoDuca, and the law firm Levidow, Levidow and Oberman. fined $5,000. Of course, this was a minor penalty, as the judge stated that the responsibilities were not fulfilled properly, especially in checking the accuracy of the information in the process.