🇬🇧 United Kingdom · AI Bias Audit Framework
A two-artifact deliverable: an Executive Summary Word document for sign-off (Risk Classification Scorecard, top 5 bias risks, sign-off block), plus a 9-sheet Excel workbook with Risk Classification by AI Use Case (Unacceptable / High / Limited / Minimal tiering), 34-item bias audit checklist with intake-pre-filled customer answers, fairness testing protocol with thresholds and acceptance criteria, RACI matrix, permitted/prohibited use cases, monitoring & remediation plan, prioritised action plan, and a live Dashboard with native radar + doughnut charts that auto-refresh as you mark items Done.
The output is anchored on the regulations that apply to AI deployments in UK. The top frameworks cited:
Process personal data lawfully, fairly, and transparently per Art. 5; establish a lawful basis under Art. 6; provide subject-rights mechanisms (access, rectification, erasure, portability, automated-decision objection); report personal data breaches to the ICO within 72 hours of awareness; conduct a Data Protection Impact Assessment for high-risk processing including automated decision-making with significant effects.
For law-enforcement processing: comply with Part 3 (six data-protection principles, lawful basis under s.35, automated-decision safeguards under s.49-50, breach notification). For special-category or criminal-offence data processing: meet a Schedule 1 condition (the lawful-basis requirement under UK GDPR Art. 9/10 alone is insufficient). For intelligence services: Part 4 framework. ICO has investigatory powers under Part 5 + monetary-penalty powers under Part 6 (up to £17.5m or 4% of global turnover).
In-scope services must conduct risk assessments, implement proportionate safety measures for illegal and harmful content including AI-generated material, and comply with Ofcom codes of practice on algorithmic content distribution.
Regulated sector organisations must consider and embed five AI principles — safety and security, transparency and explainability, fairness, accountability and governance, and contestability and redress — as implemented by their sectoral regulator.
You describe your organisation and AI estate, then answer 25 self-assessment questions across four phases (use-case characterisation, current bias-testing maturity, governance posture, and a 5-question sector-specific block tailored to HR / Healthcare / Financial Services / Government / Education / Insurance / Universal). The tool maps your stated posture into a structured, evidence-based bias audit framework ready for your compliance, legal, and AI-governance practitioners.
The Executive Summary Word document is a one-page sign-off artifact — Risk Classification Scorecard, top 5 bias risks tied to specific AI systems, 30/90/365-day path forward, sign-off block, embedded heatmap + doughnut + gauge charts. The detailed Excel workbook is the working remediation instrument: tier each AI tool, pre-filled audit checklist, fairness testing protocol with explicit thresholds, RACI ownership, permitted/prohibited lists, monitoring cadence, action plan, and a live Dashboard. Both are AI-assisted drafting aids intended to accelerate review by qualified practitioners.
$39 · one-time — answer a 6-question intake (including jurisdiction = UK), and download your tailored document immediately.
Audit AI Bias →Also available framed for your sector → see industry-specific pages