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The article highlights growing concerns about data privacy in the use of artificial intelligence, illustrated by the DeepSeek case. Unlike typical geopolitical concerns focused on other platforms, this case underscores how free AI services operate under an economic model based on the extensive collection of personal information. Users must be aware that their interactions with these chatbots generate valuable assets for companies, including direct queries, detailed technical metadata, and usage patterns. The platform’s privacy policy confirms that data is stored on servers located in China, demonstrating the cross-border transfer of sensitive information. This practice is not unique to this provider but reflects a widespread industry trend where the convenience of free services comes at the cost of ceding rights over personal data. Experts warn that even with tools to delete history, there is an inherent risk in sharing any type of confidential or private information with these systems. This article is relevant to the open_data movement because it exposes the power and transparency asymmetry between users and technology corporations. While open_data advocates for public access and democratic control over information, current AI models operate opaquely, accumulating private data without clear governance or robust informed consent. The situation invites reflection on the need for regulatory frameworks that protect the sovereignty of personal data against corporate capture, aligning with the ethical principles of transparency and accountability championed by the open data community.

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Published on 2025-01-30

Open Data

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