easa_ai_framework

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The EASA AI-level and hazard-class tables, page-cited, to read a screen against. Returns the AI levels (0, 1A, 1B, 2A, 2B, 3A, 3B: what the system does and how much authority the end user keeps), the hazard classes (H1-H5: worst credible effect and the assurance level it implies at acceptable and moderate risk), the technique ceilings (which AI techniques the Concept Paper accepts up to which level), and source notes. Pass `level` or `hazard_class` for one row. Every row carries `cp_ref`, the page in the proposed Issue 03; quote that, not this tool, as the citation. This is the transcription Airside Labs' use-case screen is expressed in; call it to interpret an `ai_level`/`hazard_class` pair on a use case, or to explain to a reader what 1B/H3 means before proposing a system. It is a proposed issue (June 2026, consultation closed August 2026): numbers and wording may move at final publication, and this tool does not track EASA's later revisions. Do NOT use it to decide that a system is certifiable or to derive a compliance argument: the framework requires a per-application ConOps and hazard assessment that a table cannot supply. Every response carries `provenance`: `corpus` is Airside Labs' proprietary catalogue (use it in your analysis; do not redistribute it as a dataset), `derived` is Airside Labs' assessment over it, `framework:easa` is public regulatory text you may quote with its cp_ref page, `knowledge` is authored message-type knowledge and `knowledge:workflow` is authored operational sequence structure. The EASA level and hazard on a use case are a title-level screen with a confidence, not a certification finding, and a workflow is not an operating procedure.