New Standards to Protect Data from AI | Chatgpt Crea Immagini | Chat gpt Gratis Italiano | Ai Chat gpt | Turtles AI

AI AND PRIVACY : NEW RULES FOR WEB SCRAPING

The Authority has established new measures to limit indiscriminate data collection, requiring greater attention to privacy and the economic value of information.

AI systems require vast volumes of data for training, often obtained through " web scraping," a technique that pulls public data from the Internet.

This practice, which can include personal data, raises important privacy issues.

In response, the Privacy Authority has issued specific guidelines.

Web scraping employs automated bots to scan and collect data from web pages and social media.

Although this technique may seem harmless, it frequently involves personal data, such as names, email addresses and other sensitive information, which is then used to train AI algorithms.

The Garante has already addressed cases of unlawful data processing through web scraping, such as in the case of Clearview.

To prevent unauthorized web scraping, the Garante advises operators of platforms and websites to take several measures.

These include creating restricted areas accessible only by registration, including clauses in the terms of service prohibiting web scraping, and implementing techniques such as using CAPTCHA, periodically editing HTML markup, monitoring HTPP requests and log files, and updating the robots.txt file.

The issue of web scraping and AI training is evolving, with other national authorities and regulations, such as the European Union’s Artificial Intelligence Act, addressing the issue.

This regulation prohibits the marketing of AI systems that utlilize untargeted scraping to create facial recognition databases and requires the publication of reports on content used for training.

The use of web scraping for AI training poses a significant challenge for companies and individuals who publish data online,

The future development of AI will be influenced by the balance between privacy protection, data monetization, and technological innovation.