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OpenAI has until April 30 to comply with EU laws, ‘next to impossible’ say experts

OpenAI has until April 30 to comply with EU laws, ‘next to impossible’ say experts


OpenAI may soon face its biggest regulatory challenge yet as Italian authorities insist the company has until April 30 to comply with local and European data protection and privacy laws, a task artificial intelligence (AI) experts say could be near impossible. 

Italian authorities issued a blanket ban on OpenAI’s GPT products in late March, becoming the first Western country to outright shun the products. The action came on the heels of a data breach wherein ChatGPT and GPT API customers could see data generated by other users.

Per a Bing-powered translation of the Italian order commanding OpenAI to cease its ChatGPT operations in the nation until it’s able to demonstrate compliance:

“In its order, the Italian SA highlights that no information is provided to users and data subjects whose data are collected by Open AI; more importantly, there appears to be no legal basis underpinning the massive collection and processing of personal data in order to ‘train’ the algorithms on which the platform relies.”

The Italian complaint goes on to state that OpenAI must also implement age verification measures in order to ensure that its software and services are compliant with the company’s own terms of service requiring users be over the age of 13.

Related: EU legislators call for ‘safe’ AI as Google’s CEO cautions on rapid development

In order to achieve privacy compliance in Italy and throughout the rest of the European Union, OpenAI will have to provide a basis for its sweeping data collection processes.

Under the EU’s General Data Protection Regulation (GDPR), tech outfits must solicit user consent to train with personal data. Furthermore, companies operating in Europe must also give Europeans the option to opt-out of data collection and sharing.

According to experts, this will prove a difficult challenge for OpenAI because its models are trained on massive data troves, which are scraped from the internet and conflated into training sets. This form of black box training aims to create a paradigm called “emergence,” where useful traits manifest unpredictably in models.

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