Article identifies gaps in AI service transparency and proposes open-source solutions.

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A DEV Community article from October 11 highlights two key transparency gaps in hosted AI services. These gaps involve users not knowing which specific AI model is running their requests or who can see their prompts. The author proposes using open-source tools to close these privacy and accountability gaps. The article also discusses the current limitations of these proposed solutions. The piece is framed as moving beyond trusting AI providers solely on faith.

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