Bias and Fairness

Definition

Bias and Fairness is the systematic design and evaluation of bias and fairness within the translation of ethical values and duties into requirements, controls, decisions and operational review.

Why this matters

Weak bias and fairness can lead to unsafe deployment, unlawful or unauthorised action, wasted public resources, loss of rights, poor accountability and declining institutional trust.

Research questions

Which controls, evidence and institutional arrangements make bias and fairness effective in practice, and how do outcomes vary by sector, system risk, organisational maturity and operating context?

Hypotheses

An explicit, testable and continuously evidenced approach to bias and fairness, with clear ownership, independent review, runtime telemetry and recovery, will outperform policy-only or periodic compliance approaches.

Proposed methods

value-sensitive design; rights-impact assessment; fairness testing; stakeholder deliberation; scenario analysis; ethics review; stakeholder interviews; document and control review; fault and incident simulation; longitudinal implementation assessment; methods adapted specifically to Bias and Fairness

Stakeholders and beneficiaries

citizens; public servants; executives; boards; regulators; auditors; legal and risk teams; technology teams; service users; civil society; suppliers