AI Bias Audit Framework for CH

CH-specific obligations covered

The output is anchored on the regulations that apply to AI deployments in CH. The top frameworks cited:

• revFADP — Revised Federal Act on Data Protection (revFADP, SR 235.1), in force 1 September 2023legislation · In force

  Article 6 — Principles for data processing • Article 5(c) — Sensitive personal data (includes health, biometric data) • Article 21 — Automated individual decisions (right to request human review) • Article 22 — Data protection impact assessment

• Swiss MedDO — Swiss Medical Devices Ordinance (MedDO, SR 812.213)legislation · In force

  Healthcare — Switzerland uses mutual recognition with EU MDR/IVDR via MRA. Post-2024 CE marking is not automatically valid in Switzerland for new devices.

• FINMA Circular 2023/1 — Operational Risks and Resilience — Banks (RS 2023/1)regulatory_circular · In force

  FINMA-supervised institutions must identify, assess, and manage AI and ML model risks as part of their operational risk framework; maintain independent model validation processes; ensure board-level accountability for technology risks; and demonstrate adequate controls over AI systems used in credit decisions, trading, and customer-facing services.

• Federal Act on Financial Services (FinSA, SR 950.1)federal_legislation · In force

  Financial service providers using AI for client advisory, portfolio management, or investment recommendations must conduct a client suitability and appropriateness assessment, ensure AI-generated advice is explainable to clients, maintain adequate documentation of algorithmic decision logic, and provide clients with a key information document where required.

How the AI Bias Audit Framework approaches this

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.

What you get

• ✓ Two artefacts, two jobs: Executive Summary (.docx) with embedded charts for board sign-off, Detailed Workbook (.xlsx) for the working remediation tracking — no overlap, no confusion.
• ✓ Intake-driven: every gap rating, risk-tier classification, and remediation action ties back to your stated YES/NO/PARTIAL/UNSURE answer — no generic checklist boilerplate.
• ✓ Sector-specific: HR customers get NYC LL 144 + EEOC 4/5ths-rule probes; healthcare gets clinical-algorithm fairness + FDA SaMD; financial services gets ECOA / Veritas FEAT — automatic per industry.
• ✓ Live dashboard with formulas + native radar + doughnut + per-section completion that auto-refresh as you mark items Done — no regeneration needed to see remediation progress. Tailored to your jurisdiction, industry, organisation size, and risk appetite.

Ready to generate?

$39 · one-time — answer a 6-question intake (including jurisdiction = CH), and download your tailored document immediately.

Also available framed for your sector → see industry-specific pages