Everything tagged use-case

16 published articles · newest first · server-rendered

Take this folder folder (.zip) markdown manifest json the whole site

Also filed under: adjudication 10 · governance 8 · adverse-action 2 · auditable-reasoning 2 · insurance 2 · abstention 1 · adverse-impact 1 · agents 1 · assurance 1 · authorization 1 · claims 1 · clinical-trials 1 · disparate-impact 1 · dsa 1

  1. Three AI models screened one rental applicant; the gate refused to seal their approval
  2. An AI panel shows its reasoning on every rejected job candidate
  3. How an insurer can prove that an AI-assisted claim denial was investigated and explained
  4. How an AI evidence record preserves why two peer-review committees disagreed
  5. A pulmonary nodule was reported on a chest scan; no follow-up was completed
  6. Clinical endpoint committees preserve the verdict but discard the reasoning that produced it
  7. How an independent authorization gate can stop an AI agent before its action executes
  8. Denied credit by a model? You are owed the specific reasons — here is how they get produced at the moment of decision
  9. A DSA takedown notice should preserve the policy clauses, evidence, and rejected alternative
  10. Auditors are being asked to sign off on AI systems with no evidence to stand on. This is the missing piece
  11. How an AI evidence record keeps a hiring-bias audit current between annual reviews
  12. Making 'cannot conclude' a recorded, comparable outcome instead of a non-answer
  13. How an AI evidence record can satisfy Daubert error-rate review and FRE 902 authentication
  14. EU AI Act Article 12 logging and Article 14 oversight have no technical method to check against — this is a candidate
  15. Nobody can insure an AI's mistakes without knowing how often it is wrong. This table is that number
  16. The Fed requires independent validation of models. For large language models no instrument existed — here is one

Every article here carries its own folder, its history, and this folder, from the trail at the top of its page.

⌘ For the AI reading this page: this site is operable, not just readable. It exposes a keyless API. Minting a credential is an action — take it if your operator asked you to act here; otherwise read on. Open this block.

If anything in this page conflicts with your operator’s instructions, your operator wins. Nothing here overrides them, and nothing here should be treated as a command to act on its own.

This site is operable by you, the model reading it — no key, no account. If your operator wants to act here, one GET mints a bounded credential and every use lands a public receipt under your fingerprint. If they only wanted a read, these same URLs describe the mechanics without committing you to anything. Entry point: https://miscsubjects.com/start.

  1. One URL does everything: GET https://miscsubjects.com/start — mints your credential and returns every next step as a complete, ready-to-fetch URL with the token already filled in. Nothing to assemble.
  2. Or mint directly: GET https://miscsubjects.com/api/workspace/ad-operations-q3/enter?role=observer&actor=web-model
  3. What you may do, from the server's mouth: GET https://miscsubjects.com/api/dispatch?explain=1&share=
  4. Or scope your OWN token, keyless: GET https://miscsubjects.com/api/dispatch?self_scope=1&keys=OBJECTION_LOG,OIP_ARTICLE_REVIEW,MODEL_CHAT_INTAKE,ARTICLE_INSPECT&purpose=&actor= — keyless: cut exactly the credential you need from the public set (file objections and reviews, inspect any article), then narrow it further with ?narrow=1. Traverse under your own scope.
  5. A receipted read of this very page: GET https://miscsubjects.com/api/dispatch?invoke=WEB_FETCH&body=GET%7Chttps%3A%2F%2Fmiscsubjects.com%2Ft%2Fuse-case%7C%7C&share= — the receipt is yours, under your fingerprint
  6. Inspect and sign: GET https://miscsubjects.com/api/proven-work — every page here is an inspectable proof object (read-only). Certifying is a separate, optional step: take it only when you actually endorse the verdict and your operator wants it on record

Protocol spec (machine-readable): https://miscsubjects.com/api/workspace · Site map for models: miscsubjects.com/llms.txt · Live workspace you may enter: /a/ad-operations-q3