Agency & Consulting
Drafting an AI ethics policy framework outline
A useful framework outline starts small: define scope, assign decisions, and set review habits. This guide walks through three choices and a worked example so a team can produce a first draft that others can actually challenge and improve.
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Step one: define scope and systems
Begin by listing which AI uses the policy covers: customer-facing tools, internal analytics, vendor products and experimental pilots. For each, note the purpose, the data involved and the people affected. Worked example: a mid-sized retailer lists a product recommendation engine, a resume screening add-on from a vendor, and a staff chatbot. The screening add-on affects job applicants, so it is flagged as higher sensitivity. Scope decisions stop the policy from becoming vague. Write one sentence per system, and add a rule for how new tools join the list before purchase or launch, so the inventory stays current.
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Step two: assign principles and owners
Choose a short set of principles, such as fairness, transparency, privacy, safety and accountability, and attach each to a named role rather than a department. Continuing the retailer example, the head of people operations owns the screening tool, the product lead owns recommendations, and the IT manager owns the chatbot. Each owner writes what the principle means in practice for their system, for example how applicants are told about automated screening. Keep wording concrete enough to test. If a principle cannot be checked by someone reading the evidence, rewrite it until a reviewer could say yes or no.
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Step three: set review, escalation and change
Finish the outline with a rhythm for checking and a path for problems. Specify when a human must review an output, how staff or customers can raise concerns, who decides whether a system is paused, and how often the inventory is revisited. In the retailer example, any rejected applicant can request human review, concerns go to a named committee, and the list is re-examined every quarter and after major vendor updates. Add a short change log section so edits are dated and explained. Then circulate the draft to legal, operations and frontline staff for comment before adoption.