algorithmic-transparency

Coverage of how AI systems disclose, or fail to disclose, the way their outputs are generated, filtered, and ranked. Content here examines the gap between what platforms tell users and what their models actually do, from hidden search result filtering to opaque ranking logic. Expect legal analysis of transparency obligations across jurisdictions, practical audits of policy documents, and discussion of what meaningful disclosure should look like in practice.

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ai-web-search, search-filtering, algorithmic-transparency, digital-services-act, ai-regulation, ftc-deceptive-practices

Undisclosed, Unconsented, Possibly Unlawful: What AI "Web Search" Hides From You

Six policy documents from two major AI platforms contain zero disclosures about search result filtering. Legal analysis across the US, EU, and Brazil finds the practice likely violates transparency obligations in two of three jurisdictions.