Italy Allows ChatGPT to Return if It Makes “Useful” Changes by the End of April

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The head of Italy’s data protection agency, Pasquale Stanzione, is optimistic OpenAI will tweak the chatbot program, known as ChatGPT, so it can be back online at the end of April. The data watchdog initially blocked the chatbot at the end of March due to privacy concerns and became the first major Western country to take action against the AI chatbot.

Stanzione stated that if OpenAI is willing to take useful notice, then the agency is prepared to relaunch ChatGPT on April 30. OpenAI must authenticate the age of users interacting with the AI and show how it plans to reduce the risk of wrong answers. Furthermore, OpenAI should make it more clear that their data, collected for training the algorithms, will be used for a specific purpose.

ChatGPT received lots of attention when it was released last year, as it can compose essays, songs, exams, and news articles from simple commands. However, many critics were worried how the chatbot gathered and processed its data and it was unclear which data was being taken.

The AI chatbot created lots of buzz, which resulted in a megadeal with Microsoft. Bing’s search engine and other programs are using the technology. This prompted other tech companies as well as venture capitalists to jump into the world of AI projects and invest their funds.

OpenAI is the firm behind ChatGPT and was founded by games entrepreneur Ilya Sutskever, investor and technology star Sam Altman and former Google Brain lead Greg Brockman in 2015. They invested an incredible amount of funds into the project and led to the development of incredible initiatives such as GPT-3. OpenAI results demonstrate the versatility and potential of machines that can learn from data and quickly adapt to tasks.

See also  Google Gemini Triumphs Over ChatGPT in AI Showdown

The success and popularity of ChatGPT has led to data protection agencies around the world, like in Italy and the US, to reevaluate their data protection practices. They are now requiring companies to make the data-usage clear, authenticate users, and develop useful measures to reduce the risk of wrong answers.
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