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Ethics and fairness notes

Recommenders change what users see. That creates responsibility.

RecSys is built for auditability and control, but it does not automatically solve ethical problems. You still need policy choices and monitoring.

What RecSys can help with

1) Explainability of “why did this show?”

  • Determinism + versioning gives you a stable answer to “what code/config/data produced this list?”
  • Exposure logs and artifacts preserve a trail for review.

See: Exposure logging and attribution and Artifacts and manifest lifecycle (pipelines → service).

2) Guardrails and constraints

  • You can express constraints (pin/block/diversity-like rules, caps, per-surface limits) via config and merchandising rules.
  • You can define guardrail metrics in evaluation and require them to pass before shipping.

See: How-to: run evaluation and make ship decisions and CI gates: using recsys-eval in automation.

3) Bias discovery (not bias elimination)

RecSys can help you detect distribution shifts and group disparities if you provide the necessary annotations.

Common examples:

  • Category skew (over/under-recommending certain item categories)
  • Supplier skew (over/under-recommending certain sellers)
  • Cold-start starvation (new items never get exposure)

What you must decide

Sensitive attributes

If you log or use sensitive attributes (age, gender, health, etc.), you create legal and ethical obligations. Prefer avoiding these.

If you need them, document:

  • lawful basis (GDPR) and data minimization reasoning
  • retention and access controls
  • how you will measure and mitigate disparate impact

Feedback loops

Recommenders create feedback loops: what you show affects what you learn.

Mitigations often include:

  • explicit exploration budgets
  • freshness / novelty constraints
  • counterfactual evaluation methods

RecSys supports controlled change workflows; it does not pick exploration strategies for you.

  1. Start with a conservative objective (one KPI + one guardrail).
  2. Define “unsafe outputs” (policy rules, disallowed categories, etc.).
  3. Require a written decision for every shipped change.
  4. Review exposure distributions periodically (by category/supplier/segment).