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AI decisions require full audit trails, PostgresEDI hears

By PulseAugur Editorial · [1 sources] ·

Otun Martins, speaking at PostgresEDI in Edinburgh, emphasized the need for auditable trails for AI-driven decisions. He argued that simply having relevant information is insufficient and that full traceability, including documents, embedding models, and retrieval logs, is crucial. Martins proposed consolidating these elements within a single PostgreSQL engine for reproducibility. Pat Wright also encouraged participation in future Postgres events, noting the next one is scheduled for August 13. AI

IMPACT Highlights the growing need for robust auditing and traceability in AI systems, particularly concerning compliance and reproducibility.

RANK_REASON This item discusses a talk given at an event about AI compliance and auditing, rather than a core AI release or research.

Read on Mastodon — fosstodon.org →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

AI decisions require full audit trails, PostgresEDI hears

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This item discusses a talk given at an event about AI compliance and auditing, rather than a core AI release or research.
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COVERAGE [1]

  1. Mastodon — fosstodon.org TIER_1 English(EN) · [email protected] ·

    "Relevance is not evidence." # PostgresEDI in # Edinburgh delivered. Otun Martins: AI-approved decisions need full audit trails - which documents, which embeddi

    "Relevance is not evidence." # PostgresEDI in # Edinburgh delivered. Otun Martins: AI-approved decisions need full audit trails - which documents, which embedding model, which chunk, can it be reproduced? His answer: keep vectors, permissions, doc versions & retrieval logs in one…

    LINKS cloomba.com/…/postgresql-edinburgh-meetup…

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