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Microsoft Chief Scientist Calls AI Data Scraping 'Largest Theft of Labor in History'

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Microsoft Chief Scientist Kate Crawford has issued a stark warning that AI-powered data scraping represents what she calls the largest theft of labor in human history. AI scraping refers to the automated extraction of data from websites, APIs, and other digital sources using machine learning techniques that can mimic human behavior and evade detection. Unlike traditional web scraping, these AI-driven tools can adapt to website changes, bypass security measures like CAPTCHAs, and reverse-engineer application logic. The practice poses serious risks to developers and businesses, including intellectual property theft, data breaches, and server overloads that can cause denial-of-service disruptions. Competitors can also exploit scraped data to replicate products or gain unfair market advantages, raising urgent concerns about regulation and digital rights.

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Microsoft Chief Scientist Calls AI Data Scraping 'Largest Theft of Labor in History' · ShortSingh