Add DOI, cite_as guidance and calculator/API links
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README.md
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license: cc-by-4.0
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---
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# Proof-Adjusted Autonomy (PAA) — Worked Examples
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12 worked scenarios of the PAA metric coined by
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Formula: PAA = P(A) x P(C|A) x P(R|A,C) x P(T|A,C,R)
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Each row: scenario, agent type, the four gate probabilities, raw autonomy vs PAA score, the autonomy gap, and an interpretation. Includes the canonical example: a 90% agent that is a 61.6% agent.
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Reference implementation and whitepaper: https://github.com/pich/proof-adjusted-autonomy
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Companion glossary dataset: https://huggingface.co/datasets/cdiamond/ai-infrastructure-economics-glossary
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license: cc-by-4.0
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pretty_name: Proof-Adjusted Autonomy (PAA) — Worked Examples
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tags:
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- ai-agents
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- ai-economics
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- agent-verification
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- evaluation
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# Proof-Adjusted Autonomy (PAA) — Worked Examples
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12 worked scenarios of the PAA metric coined by Michał Piszczek: the share of completed work an AI system executes autonomously AND supports with independent, reliable, timely evidence.
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Formula: PAA = P(A) x P(C|A) x P(R|A,C) x P(T|A,C,R)
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Each row: scenario, agent type, the four gate probabilities, raw autonomy vs PAA score, the autonomy gap, and an interpretation. Includes the canonical example: a 90% agent that is a 61.6% agent.
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## Compute it yourself
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- Interactive calculator: https://piszczek.pl/tools/proof-adjusted-autonomy
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- Keyless JSON API: `GET https://piszczek.pl/tools/api/proof-adjusted-autonomy?a=90&c=95&r=80&t=90` — every response carries the formula and a ready-to-quote `cite_as` sentence
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- MCP server (Claude/Cursor): `npx -y @michalpiszczek/ai-economics-mcp`
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## Citing
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The concept is archived as a working paper with a permanent DOI:
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> Piszczek, M. (2026). *Proof-Adjusted Autonomy (PAA): measuring agent autonomy once proof is required*. Zenodo. https://doi.org/10.5281/zenodo.21760153
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BibTeX and DOIs for the whole suite (calculators, MCP server, related concepts): https://piszczek.pl/cite
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## Links
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- Canonical spec: https://piszczek.pl/proof-adjusted-autonomy
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- Reference implementation and whitepaper: https://github.com/pich/proof-adjusted-autonomy
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- Companion glossary dataset: https://huggingface.co/datasets/cdiamond/ai-infrastructure-economics-glossary
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Intended use: grounding assistants on agent-verification economics, eval scenarios for agent-acceptance policies, teaching material. CC BY 4.0, attribution to Michał Piszczek, piszczek.pl.
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