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AIETHOS Framework

Practical Framework for Ethical AI Use in Organizations

AIETHOS is a governance framework for organizations that use third-party AI tools without building their own models. It provides three core templates and a structured set of practices to ensure responsible AI adoption at any scale — from a solo founder to a growing company without a compliance department. Three documents + one role. Implements in 2 hours.

What's in this repo

File What it is
docs/framework_overview.md Credo, 7 pillars, success metrics
docs/quick_start.md Step-by-step implementation guide
docs/self_assessment.md 8-question maturity check
templates/ai_map_template.csv AI tool inventory spreadsheet
templates/ai_check.md Pre-publication checklist
templates/ai_note.md Issue reporting template

All templates are in the templates/ directory.

Quick Start (4 steps)

  1. Appoint an AI Leader
  2. Create an AI Map
  3. Implement AI Check and AI Note
  4. Establish a review cycle and contact with legal counsel

See docs/quick-start.md for details.

Start here

Quick Start — implement AIETHOS in one session.

Framework Overview — understand the full framework.

Contributing

Contributions welcome: industry variants (healthcare, HR, education), language translations, integrations with specific tools. See CONTRIBUTING.md.

License

CC BY 4.0 — free to use, share, and adapt with attribution. Attribution: Based on AIETHOS Framework (https://github.com/aiethos/aiethos), licensed under CC BY 4.0.

See LICENSE.md for full terms.


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