AI Bias Audit Framework for BR

BR-specific obligations covered

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

• Lei Geral de Proteção de Dados — LGPD (Law 13,709/2018)national_law · In force

  Data controllers must establish a lawful basis for all personal data processing, honour data subject rights including the right to request review of decisions made exclusively by automated processing, appoint a DPO, and report data breaches to the ANPD.

• Brazilian Artificial Intelligence Bill (PL 2338/2023 — Senate)proposed_legislation · Proposed

  Providers and operators of high-risk AI systems must conduct impact assessments, ensure transparency and explainability of consequential AI decisions, implement human oversight mechanisms, and register high-risk AI systems with the designated national authority.

• Marco Civil da Internet — Law 12,965/2014national_law · In force

  Internet application providers must preserve connection and application access logs for court-ordered disclosure, refrain from supplying personal data to third parties without consent, and comply with Brazilian judicial orders for user data within specified timeframes.

• BACEN Resolution 4,658/2018 — Cybersecurity Policy for Financial Institutionsregulatory_resolution · In force

  Financial institutions using AI must establish board-approved cybersecurity policies, conduct comprehensive risk assessments of AI suppliers and cloud providers, maintain relevant contracts with security obligations, and report significant cybersecurity incidents to BACEN.

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 = BR), and download your tailored document immediately.

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