Market
Algorithmic Bias Auditing Services in AI answers
Since Jul 5Updated Nov 10, 2026Based on 420 AI answers
Reviewed by Dimitry Apollonsky
Brands AI mentions
| # | BrandMentioned in | ||
|---|---|---|---|
| #1 | 45% Independent algorithmic audits, fairness testing, and regulatory preparation | 45% | Independent algorithmic audits, fairness testing, and regulatory preparation |
| #1 | 44% Independent audits and oversight of algorithmic systems | 44% | Independent audits and oversight of algorithmic systems |
| #1 | 42% Algorithmic fairness consulting and external AI governance reviews | 42% | Algorithmic fairness consulting and external AI governance reviews |
| #4 | 38% Bias audits, subgroup analysis, and governance workflows | 38% | Bias audits, subgroup analysis, and governance workflows |
| #4 | 37% AI assurance and external oversight for governance boards | 37% | AI assurance and external oversight for governance boards |
| #6 | 25% External AI governance reviews and assurance | 25% | External AI governance reviews and assurance |
| #6 | 25% Responsible AI practices and external governance reviews | 25% | Responsible AI practices and external governance reviews |
| #6 | 23% Hiring bias audits and Local Law 144 compliance | 23% | Hiring bias audits and Local Law 144 compliance |
| #9 | 16% Statistical fairness metrics and bias mitigation tools | 16% | Statistical fairness metrics and bias mitigation tools |
| #9 | 16% | 16% | |
| #9 | 16% Governance workflows and fairness assessments | 16% | Governance workflows and fairness assessments |
| #9 | 14% | 14% | |
| #13 | 11% | 11% | |
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By AI engine
Mentioned in, on ChatGPT and Google AI Mode
- BablChatGPTGoogle AI Mode
- DeloitteChatGPTGoogle AI Mode
- O'Neil Risk Consulting & Algorithmic Auditing (ORCAA)ChatGPTGoogle AI Mode
- Holistic AIChatGPTGoogle AI Mode
- PwCChatGPTGoogle AI Mode
- Warden AIGoogle AI Mode
- EYChatGPTGoogle AI Mode
- KPMGChatGPTGoogle AI Mode
- FairGapChatGPT
- FairlearnChatGPTGoogle AI Mode
- AI Fairness 360ChatGPTGoogle AI Mode
- Credo AIChatGPTGoogle AI Mode
- Fisher PhillipsGoogle AI Mode
- Fiddler AIChatGPTGoogle AI Mode
- AequitasChatGPTGoogle AI Mode
- iDharmaChatGPT
- TAGC AssuranceChatGPT
- ArthurGoogle AI Mode
- ForHumanityGoogle AI Mode
- Algorithmic Justice LeagueGoogle AI Mode
- AI Now InstituteChatGPTGoogle AI Mode
- IBMGoogle AI Mode
- What-If ToolGoogle AI Mode
- AI AuditsChatGPT
- AxiLayer AIChatGPT
- AEDT AuditsChatGPT
- FirstPrinciple AdvisoryChatGPT
- ParityGoogle AI Mode
- NIST AI Risk Management FrameworkChatGPT
- Trilateral ResearchGoogle AI Mode
- National Institute of Standards and Technology (NIST)ChatGPT
- AramGRCChatGPT
- Amazon SageMakerGoogle AI Mode
- BoardSightChatGPT
- Ada Lovelace InstituteGoogle AI Mode
- ComplianceTechChatGPT
- BNH.AIGoogle AI Mode
Latest insights
Week of Oct 19–25
- KPMG Gaining: KPMG is mentioned in 24% of answers, up from 14%
Sites AI cites
49% of citations point at the ranked brands’ own sites. orcaarisk.com, arxiv.org, aicompliancevendors.com are the most-cited sites outside the ranked brands’ own domains.
- 28%
- NYC Local Law 144: AI Bias Audits & Compliance Platform (opens in a new tab) · 8%
- The Algorithmic Bias Audit: A Practical Guide - Warden AI (opens in a new tab) · 7%
- NYC Bias Audit: Step-by-Step Employer Guide to NYC LL 144 - Warden AI (opens in a new tab) · 4%
- AI Employment Law: State-by-State Hiring Compliance Guide - Warden AI (opens in a new tab) · 4%
- Choosing a Bias Auditor: Six Questions Under NYC LL 144 - Warden AI (opens in a new tab) · 3%
- Who Audits AI Systems for Bias in Hiring? - Warden AI (opens in a new tab) · 3%
- What is an Independent Bias Audit? A Complete Guide - Warden AI (opens in a new tab) · 3%
- AI Bias in Hiring: What 150+ Bias Audits Reveal - Warden AI (opens in a new tab) · 2%
- AI Bias Audit Staffing Agencies: A Compliance Roadmap - Warden AI (opens in a new tab) · 2%
- Third-Party AI Governance Auditing: Scope and Evidence - Warden AI (opens in a new tab) · 2%
- 26%
- BABL AI – Independent AI Assurance (opens in a new tab) · 13%
- AI Audits - BABL AI (opens in a new tab) · 5%
- How Do You Actually Conduct a Bias Audit? – BABL AI (opens in a new tab) · 5%
- NYC Bias Audit (opens in a new tab) · 3%
- EEOC AI Bias Audit (opens in a new tab) · 3%
- Responsible AI Consulting (opens in a new tab) · 1%
- Legal Compliance Audit - BABL AI (opens in a new tab) · <1%
- BABL AI: A Framework for Assurance Audits of Algorithmic ... (opens in a new tab) · <1%
- BABL AI (opens in a new tab) · <1%
- About BABL AI: Leading experts in AI Auditing and Responsible AI (opens in a new tab) · <1%
- Lists AWS, IBM and Microsoft Azure24%
- Holistic AI – The Leading AI Governance Platform (opens in a new tab) · 12%Lists AWS, IBM and Microsoft Azure
- NYC Bias Audit Solution - Holistic AI (opens in a new tab) · 5%
- AI Audits - Mitigate & Monitor AI Risks | Holistic AI (opens in a new tab) · 2%
- AI Bias Assessment - Audit your AI systems | Holistic AI Solutions (opens in a new tab) · 2%
- Unconscious AI Bias: How to Audit Your Company with Holistic AI (opens in a new tab) · 1%
- Bias Audit - Holistic AI (opens in a new tab) · 1%
- AI Audits - Mitigate & Monitor AI Risks | Holistic AI (opens in a new tab) · 1%
- Holistic AI and Bryq Join Forces for “NYC Bias Audit” Assessment (opens in a new tab) · 1%
- 10 Things You Need to Know About the NYC Mandatory Bias Audits [July 2023] (opens in a new tab) · <1%
- Bias Audit Laws in the US: The State of Play for Automated Employment Decision Tools (opens in a new tab) · <1%
- 22%
- NYC Local Law 144-21 and Algorithmic Bias | Deloitte US (opens in a new tab) · 10%
- Deloitte US | Together Makes Progress (opens in a new tab) · 4%
- Fair Lending | Deloitte US (opens in a new tab) · 3%
- AI Board Governance Roadmap | Deloitte US (opens in a new tab) · 2%
- AI Risk and Governance Framework | Deloitte US (opens in a new tab) · 1%
- Surveillance and Predictive Policing Through AI - Deloitte (opens in a new tab) · <1%
- AI Ethicist & AI Bias | Deloitte US (opens in a new tab) · <1%
- Regulatory Risk and Forensic AI-Enabled Services and Technologies | Deloitte US (opens in a new tab) · <1%
- Trustworthy AI services | Deloitte US (opens in a new tab) · <1%
- Making AI transparent, fair and trustworthy | Deloitte | Blog (opens in a new tab) · <1%
- 20%
- [2310.02521] Who Audits the Auditors? Recommendations from a field scan of the algorithmic auditing ecosystem (opens in a new tab) · 5%
- Auditing Work: Exploring the New York City algorithmic bias audit regime (opens in a new tab) · 4%
- [2606.02957] The Fair Lending Model: How the Longest-Running Algorithmic Fairness Programs Work in Practice (opens in a new tab) · 1%
- Algorithmic Bias in Lending: Evidence from a Fintech Audit (opens in a new tab) · 1%
- [1811.05577] Aequitas: A Bias and Fairness Audit Toolkit (opens in a new tab) · 1%
- Auditing Work: Exploring the New York City algorithmic bias audit regime (opens in a new tab) · 1%
- [2206.04737] Outsider Oversight: Designing a Third Party Audit Ecosystem for AI Governance (opens in a new tab) · 1%
- Equalizing Credit Opportunity in Algorithms: Aligning Algorithmic Fairness Research with U.S. Fair Lending Regulation (opens in a new tab) · <1%
- [1810.01943] AI Fairness 360: An Extensible Toolkit for Detecting, Understanding, and Mitigating Unwanted Algorithmic Bias (opens in a new tab) · <1%
- Mitigating Bias in Algorithmic Systems -- A Fish-Eye View (opens in a new tab) · <1%
- 16%
- FairGap Launches Independent Algorithmic Bias Audit Service for Regulated AI Systems — FairGap (opens in a new tab) · 14%
- Bias audits that hold up under cross-examination — FairGap (opens in a new tab) · 10%
- Bias audits that hold up under cross-examination — FairGap (opens in a new tab) · 1%
- Press — FairGap (opens in a new tab) · 1%
- 15%
- Automated Employment Decision Tools (AEDT) - DCWP (opens in a new tab) · 11%
- Automated Employment Decision Tools: Frequently Asked Questions (opens in a new tab) · 2%
- Automated Employment Decision Tools: Frequently Asked Questions (opens in a new tab) · 2%
- Automated Employment Decision Tools: Frequently Asked Questions (opens in a new tab) · 2%
- Automated Employment Decision Tools: Frequently Asked Questions - DCWP (opens in a new tab) · 1%
- Comments Received by the Department of (opens in a new tab) · 1%
- THURSDAY, APRIL 6, 2023 (opens in a new tab) · 1%
- 2025_CEP5 Data Profile_ Completed (opens in a new tab) · <1%
- Automated Employment Decision Tools (AEDT) - DCWP (opens in a new tab) · <1%
- DCWP Roundtable with Audit Industry Stakeholders on AEDT | May 25, 2023 | Revised June 2023 (opens in a new tab) · <1%
- 13%
- Top 4 AI Bias Audit Firms (2026): Compared & Ranked (opens in a new tab) · 6%
- Top 6 NYC LL 144 AEDT Compliance Tools (2026) (opens in a new tab) · 4%
- AI Audit & Assurance Firms Directory | AI Compliance Vendors (opens in a new tab) · 2%
- Top 5 AI Bias Detection Tools (2026): Vendors Compared (opens in a new tab) · 1%
- NYC LL 144: Compliance Guide + Vendors (opens in a new tab) · <1%
- NYC Local Law 144 Guide 2026: AEDT Bias Audit Rules (opens in a new tab) · <1%
- NYC Local Law 144 Bias Audit Checker + Cost Estimator (Free) (opens in a new tab) · <1%
- 12%
- AI assurance services: PwC (opens in a new tab) · 4%
- PwC: Audit and assurance, consulting and tax services (opens in a new tab) · 3%
- PwC US Careers: Independent Bias Audit (opens in a new tab) · 2%
- Financial risk analytics and modeling: PwC (opens in a new tab) · 1%
- Understanding algorithmic bias and how to build trust in AI: PwC (opens in a new tab) · 1%
- Global Banking Risk study - PwC (opens in a new tab) · <1%
- Responsible AI Toolkit: PwC (opens in a new tab) · <1%
- PwC: Audit and assurance, consulting and tax services (opens in a new tab) · <1%
- PwC US (opens in a new tab) · <1%
- Basel III Endgame: The next generation of capital requirements (opens in a new tab) · <1%
- 11%
- AI Fairness and Bias Audit Solutions | Fisher Phillips LLP (opens in a new tab) · 9%
- Why You Need to Care About AI Bias in 2026 and How a Bias Audit Can Help You Avoid Danger | Fisher Phillips LLP (opens in a new tab) · 2%
- What Businesses Should Ask Before Hiring an AI Bias Auditor – With Bonus Free Questionnaire | Fisher Phillips LLP (opens in a new tab) · 1%
- Are You Compliant with NYC’s New Rules for Using AI in the Workplace? Answers to Your Top 7 Questions | Fisher Phillips LLP (opens in a new tab) · 1%
- AI Risk and Compliance Audits | Fisher Phillips LLP (opens in a new tab) · <1%
- Fisher Phillips Collaborates with BLDS and SolasAI to Help Employers Navigate Rapidly Evolving AI Regulations | Fisher Phillips LLP (opens in a new tab) · <1%
- 10%
- AI bias detection tools: open-source and commercial testing options | AI Governance Lexicon | VerifyWise (opens in a new tab) · 4%
- AI bias audits | VerifyWise (opens in a new tab) · 3%
- NYC Local Law 144: bias audit and AEDT checklist - VerifyWise (opens in a new tab) · 2%
- Bias audit report | AI Governance Lexicon (opens in a new tab) · 1%
- Automated employment decision tools: NYC Local Law 144 (opens in a new tab) · <1%
- Independent AI audit requirements | AI Governance Lexicon (opens in a new tab) · <1%
- Local Law 144 bias audit: independent NYC AEDT auditor (opens in a new tab) · <1%
- VerifyWise - AI Governance Platform | Enterprise AI Compliance (opens in a new tab) · <1%
- AI Governance Consultants & Advisors in China (opens in a new tab) · <1%
- AI Governance Consultants & Advisors in Germany (opens in a new tab) · <1%
- 9%
- The Top 5 AI Governance Platforms for Meeting the Strictest Regulatory Requirements (opens in a new tab) · 2%
- How Do You Audit AI Bias? | Tom McLeod (opens in a new tab) · 1%
- Bias Audits: Perspectives for AI Hiring Tool Vendors (opens in a new tab) · 1%
- The Board's Guide to AI Governance: Balancing Innovation with Responsible Oversight (opens in a new tab) · 1%
- AI Bias Auditing; Required by Law, Undefined by Regulation - LinkedIn (opens in a new tab) · <1%
- Third-party compliance evaluations - CompTIA SecAI+ (CY0-001) Cert Prep Video Tutorial (opens in a new tab) · <1%
- Reimagining Credit Risk: Can Alternative Data Make Banking More Inclusive? Alternative data revolutionize credit risk assessment, making banking significantly more inclusive by evaluating… | Ajay Naik (opens in a new tab) · <1%
- You don’t have time to read another 60-page AI report. | Helen van Orton (opens in a new tab) · <1%
- Independent Benchmarks Ensures AI Audit Integrity | Jeffrey Pole posted on the topic | LinkedIn (opens in a new tab) · <1%
- Three Big Four firms have withdrawn or corrected published reports this year because of AI hallucinations. | John Burns (opens in a new tab) · <1%
- 8%
- AI Risk Management Framework | NIST (opens in a new tab) · 5%
- AI Risk Management Framework FAQs | NIST (opens in a new tab) · 3%
- AI Research - Identifying & Managing Harmful Bias in AI (opens in a new tab) · 1%
- The TEVV-Athlon Framework for Evaluating AI Systems | NIST (opens in a new tab) · 1%
- NIST AI RMF Playbook | NIST (opens in a new tab) · 1%
- Comments Received on A Proposal for Identifying and ... - NIST (opens in a new tab) · <1%
- NIST Information Technology Laboratory (ITL) AI Program | NIST (opens in a new tab) · <1%
- Powerful AI Is Already Here: To Use It Responsibly, We Need to Mitigate Bias | NIST (opens in a new tab) · <1%
- AI RMF 2nd Draft Comments - ForHumanity (opens in a new tab) · <1%
- ARIA Evaluation Planning Manual: Elements of ARIA-Style AI Evaluations | NIST (opens in a new tab) · <1%
- 8%
- Auditing employment algorithms for discrimination | Brookings (opens in a new tab) · 7%
- Algorithmic bias detection and mitigation: Best practices and policies to reduce consumer harms | Brookings (opens in a new tab) · 1%
- Reducing bias in AI-based financial services - Brookings Institution (opens in a new tab) · 1%
- The AI regulatory toolbox: How governments can discover algorithmic harms (opens in a new tab) · 1%
- Challenges for mitigating bias in algorithmic hiring | Brookings (opens in a new tab) · <1%
- 8%
- AI Governance Boards Explained How Smart Companies ... (opens in a new tab) · 1%
- "Algorithmic Bias" and "Unfair" Discrimination (opens in a new tab) · <1%
- The Board's AI Risk Moment: Who Is Accountable? (opens in a new tab) · <1%
- Fair Lending, Bias Mitigation & Responsible AI (opens in a new tab) · <1%
- The Future of Third-Party AI Evaluation Workshop - YouTube (opens in a new tab) · <1%
- AI Bias in Employment Decisions: How to Spot, Assess, and ... (opens in a new tab) · <1%
- Legal Compliance Audit for AI (opens in a new tab) · <1%
- Bias detection tools for AI Models - Fairlearn and AIF360 (opens in a new tab) · <1%
- We're Seeing Government CDOs Becoming Key AI Deployment Partners — Deloitte CDO - YouTube (opens in a new tab) · <1%
- How Our AI Ethics Advisory Board Helps Organizations with ... (opens in a new tab) · <1%
- Lists AWS, IBM, Microsoft Azure and 8 more7%
- Credo AI - The Trusted Leader in AI Governance (opens in a new tab) · 4%Lists AWS, Credo AI, IBM and 3 more
- NYC AI Bias Audit: 7 Things You Need to Know About the Updated NYC Algorithmic Hiring Law (opens in a new tab) · 2%
- Third-Party Risk Management for AI: A Governance-First Approach - Credo AI Company Blog (opens in a new tab) · 1%
- Credo AI Glossary - Audit (opens in a new tab) · <1%
- Credo AI - The Leader in Responsible AI - Product (opens in a new tab) · <1%Lists AWS, Anthropic, Google Cloud and 7 more
- Credo AI Announces the World's First Responsible AI Governance Platform (opens in a new tab) · <1%
- Credo AI Glossary - Auditing or Audibility of AI Systems (opens in a new tab) · <1%
- Credo AI Glossary - Credo AI Policy Pack (opens in a new tab) · <1%
- AI Governance Platform & Services | Credo AI (opens in a new tab) · <1%
- ServiceNow vs Credo AI (opens in a new tab) · <1%
- 7%
- Fairlearn (opens in a new tab) · 6%
- Fairness in Machine Learning — Fairlearn 0.15.0.dev0 documentation (opens in a new tab) · 1%
- Frequently asked questions — Fairlearn 0.15.0.dev0 documentation (opens in a new tab) · 1%
- Performing a Fairness Assessment — Fairlearn 0.12.0 documentation (opens in a new tab) · 1%
- API Docs — Fairlearn 0.15.0.dev0 documentation (opens in a new tab) · <1%
- fairlearn.metrics.demographic_parity_difference — Fairlearn 0.15.0.dev0 documentation (opens in a new tab) · <1%
- Performing a Fairness Assessment — Fairlearn 0.16.0.dev0 documentation (opens in a new tab) · <1%
- User Guide — Fairlearn 0.15.0.dev0 documentation (opens in a new tab) · <1%
- Assessment — Fairlearn 0.12.0 documentation (opens in a new tab) · <1%
- Performing a Fairness Assessment — Fairlearn 0.8.0 documentation (opens in a new tab) · <1%
- 7%
- Enforcement of Local Law 144 – Automated Employment Decision Tools | Office of the New York State Comptroller (opens in a new tab) · 5%
- Department of Consumer and Worker Protection: Enforcement of Local Law 144 – Automated Employment Decision Tools (opens in a new tab) · 2%
- Artificial Intelligence Governance (Follow-Up) | Office of the New York State Comptroller (opens in a new tab) · 1%
- 7%
- iDharma (opens in a new tab) · 3%
- iDharma. Hope less. Prove more. (opens in a new tab) · 2%
- iDharma - What is iDharma — Independent AI Audits (opens in a new tab) · 1%
- iDharma | AI Audit Services (opens in a new tab) · 1%
- iDharma | NYC Local Law 144 Bias Audit - Independent AEDT Auditor (opens in a new tab) · <1%
- iDharma — AI Audits for Lenders (opens in a new tab) · <1%
- iDharma | NYC Local Law 144 Bias Audit: Who Runs It, What It Measures (opens in a new tab) · <1%
- iDharma | AI Audit Framework & Risk Assessment Methodology (opens in a new tab) · <1%
- iDharma | AI Audits for Lenders - Fair Lending & Model Risk (opens in a new tab) · <1%
- 6%
- BABL AI: Conducting third-party audits for automated employment decision tools - GOV.UK (opens in a new tab) · 3%
- Holistic AI: NYC Bias Audits - GOV.UK (opens in a new tab) · 1%
- Holistic AI: Audits - GOV.UK (opens in a new tab) · 1%
- Credo AI Policy Packs: Human Resources Startup compliance with NYC LL-144 - GOV.UK (opens in a new tab) · <1%
- Data and AI Ethics Framework - GOV.UK (opens in a new tab) · <1%
- Auditing algorithms: the existing landscape, role of regulators and future outlook - GOV.UK (opens in a new tab) · <1%
- FairNow: NYC Bias Audit With Synthetic Data (NYC Local Law 144) - GOV.UK (opens in a new tab) · <1%
- Trilateral Research: Ethical impact assessment, risk assessment, transparency reporting, bias mitigation and co-design of AI used to safeguard children - GOV.UK (opens in a new tab) · <1%
- Review into bias in algorithmic decision-making - GOV.UK (opens in a new tab) · <1%
- Review into bias in algorithmic decision-making (opens in a new tab) · <1%
- 6%
- Medium (opens in a new tab) · 2%
- The AI Governance Frontier Series Part 1 — Decoding Global and U.S. (opens in a new tab) · <1%
- Comparing VerifyML, AI Fairness 360 and Fairlearn - Medium (opens in a new tab) · <1%
- AI Use-Case Compass — Finance: Algorithms to Alpha (opens in a new tab) · <1%
- Building an AI Governance Practice in a Fortune 500 Healthcare Company (opens in a new tab) · <1%
- Scaling Trust — Building AI Policies and Controls: A Structured Multi-Step Roadmap — Part 1 (opens in a new tab) · <1%
- Scaling Trust with EU AI Act Compliance — Building High‑Risk Readiness — Part 4 | by Adnan Masood, PhD. | Medium (opens in a new tab) · <1%
- The AI Governance Frontier Series Part 5 — A Comprehensive Review of Responsible AI Practices in Enterprise Applications | by Adnan Masood, PhD. | Medium (opens in a new tab) · <1%
- Medium (opens in a new tab) · <1%
- The Healthcare Payer’s Algorithm — VII : AI in Regulatory Compliance and Reporting (opens in a new tab) · <1%
- 5%
- GitHub - Trusted-AI/AIF360: A comprehensive set of fairness metrics for datasets and machine learning models, explanations for these metrics, and algorithms to mitigate bias in datasets and models. · GitHub (opens in a new tab) · 2%
- GitHub - dssg/aequitas: Bias Auditing & Fair ML Toolkit · GitHub (opens in a new tab) · 2%
- GitHub - fairlearn/fairlearn: A Python package to assess and improve fairness of machine learning models. · GitHub (opens in a new tab) · 1%
- GitHub - aclu-national/tracking-ll144-bias-audits: A crowd-sourced public tracker of bias audits of automated employment decision tools (AEDTs) released by employers related to NYC's Local Law 144. · GitHub (opens in a new tab) · <1%
- A curated list of awesome Fairness in AI resources - GitHub (opens in a new tab) · <1%
- fairlearn/docs/user_guide/fairness_in_machine_learning.rst at main · fairlearn/fairlearn · GitHub (opens in a new tab) · <1%
- GitHub - pymetrics/audit-ai: detect demographic differences in the ... (opens in a new tab) · <1%
- Open-Source Bias & Fairness Detection Tools · Issue #46 · AI-Trust-Services/ai-trust-platform · GitHub (opens in a new tab) · <1%
- fairlearn/docs/quickstart.rst at main · fairlearn/fairlearn · GitHub (opens in a new tab) · <1%
- Lists Fiddler AI, AWS, OpenAI and 2 more5%
- Fiddler AI: The Control Plane for Enterprise AI Agents (opens in a new tab) · 2%Lists AWS and Fiddler AI
- Responsible AI | Fiddler AI (opens in a new tab) · 2%
- Explainable AI Goes Mainstream to Help Prevent Bias | Fiddler AI Blog (opens in a new tab) · <1%
- Resource Library | Fiddler AI (opens in a new tab) · <1%
- AI Agent Evaluations Across the Lifecycle | Fiddler AI (opens in a new tab) · <1%Lists Fiddler AI and OpenAI
- How to Track Fairness and Bias In Predictive and Generative AI | Fiddler AI Reports (opens in a new tab) · <1%
- Fiddler AI: The Control Plane for Enterprise AI Agents (opens in a new tab) · <1%Lists Fiddler AI
- AI Observability and Security Platform | Fiddler AI (opens in a new tab) · <1%Lists AWS, Anthropic, Fiddler AI and 2 more
- 5%
- EY - US | Shape the future with confidence (opens in a new tab) · 3%
- Four ways boards can support the effective use of AI - EY (opens in a new tab) · 1%
- Technology Risk AI and Digital Resilience | EY - US (opens in a new tab) · 1%
- Assessing and mitigating unfairness in credit models | EY - Canada (opens in a new tab) · <1%
- Responsible AI in Financial Services | EY - Global (opens in a new tab) · <1%
- Board oversight of AI | EY - US (opens in a new tab) · <1%
- Addressing AI bias: a human-centric approach to fairness | EY - US (opens in a new tab) · <1%
- AI discrimination and bias in financial services | EY - US (opens in a new tab) · <1%
- EY survey finds that autonomous AI implementation outpaces oversight, yielding an AI governance gap | EY - US (opens in a new tab) · <1%
- Information governance and privacy services | EY - US (opens in a new tab) · <1%
- 5%
- KPMG International | Home (opens in a new tab) · 3%
- Technology assurance (opens in a new tab) · 1%
- 06 Protecting Fairness (opens in a new tab) · <1%
- AI ethics, governance & compliance (opens in a new tab) · <1%
- GSE Guidance on AI (opens in a new tab) · <1%
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- Beyond the bias: Designing AI for social fairness - KPMG International (opens in a new tab) · <1%
- AI and technology in Audit (opens in a new tab) · <1%
- 5%
- AI Audit & AI Auditing Services | AI System Assessment | AxiLayer AI (opens in a new tab) · 3%
- AxiLayer AI | Third-party AI Assessment, Readiness & Governance (opens in a new tab) · 2%
- AxiLayer AI | AI Control and Assurance (opens in a new tab) · 2%
- Government Capability Profile | AxiLayer AI, Inc., CAGE 20JV1 · UEI CB76ENDLMUC9 (opens in a new tab) · <1%
- 5%
- Working it out | Ada Lovelace Institute (opens in a new tab) · 2%
- Algorithmic accountability for the public sector | Ada Lovelace Institute (opens in a new tab) · 2%
- Code & conduct | Ada Lovelace Institute (opens in a new tab) · 1%
- Ada Lovelace Institute (opens in a new tab) · <1%
- Algorithmic accountability for the public sector | Ada Lovelace Institute (opens in a new tab) · <1%
- Buying AI | Ada Lovelace Institute (opens in a new tab) · <1%
- Examining the Black Box | Ada Lovelace Institute (opens in a new tab) · <1%
- Under the radar? (opens in a new tab) · <1%
- Lists IBM, Microsoft, Microsoft Azure and Fairlearn5%
- NIST SI Resource Center - AIRC (opens in a new tab) · 2%
- AI RMF Core - AIRC (opens in a new tab) · 2%
- AI RMF - AIRC (opens in a new tab) · 1%
- Govern - AIRC (opens in a new tab) · 1%Lists IBM, Microsoft and Microsoft Azure
- Measure - AIRC (opens in a new tab) · 1%Lists Fairlearn, IBM, Microsoft and Microsoft Azure
- AI Metrology Center - AIRC (opens in a new tab) · 1%
- AI Risks and Trustworthiness - AIRC (opens in a new tab) · <1%
- AI RMF AI RMF PLAYBOOK PLAYBOOK (opens in a new tab) · <1%Lists IBM, Microsoft and Microsoft Azure
- 4%
- Algorithmic Accountability: Moving Beyond Audits - AI Now Institute (opens in a new tab) · 2%
- Algorithmic Impact Assessments Report: A Practical Framework for Public Agency Accountability - AI Now Institute (opens in a new tab) · 1%
- Home - AI Now Institute (opens in a new tab) · <1%
- Algorithmic Accountability for the Public Sector - Report - AI Now Institute (opens in a new tab) · <1%
- 3%
- NYC Outlines Compliance Requirements for AI Bias Law (opens in a new tab) · 2%
- NYC Outlines Compliance Requirements for AI Bias Law - SHRM (opens in a new tab) · 1%
- NYC Outlines Compliance Requirements for AI Bias Law - SHRM (opens in a new tab) · <1%
- AI Bias Audits Are Coming. Are You Ready? (opens in a new tab) · <1%
- NYC Clarifies Who and What Is Covered Under AI Bias Law (opens in a new tab) · <1%
- 3%
- AI Governance Vendor Report 2026 | IAPP (opens in a new tab) · 2%
- AI Governance Vendor Report 2026 | IAPP (opens in a new tab) · <1%
- Practical considerations for bias audits under NYC Local Law 144 | IAPP (opens in a new tab) · <1%
- AI Governance Vendor Directory | IAPP (opens in a new tab) · <1%
- AI Governance Vendor Directory | IAPP (opens in a new tab) · <1%
- 3%
- AI audits for assessing design logics and building ethical systems: the case of predictive policing algorithms | AI and Ethics | Springer Nature Link (opens in a new tab) · 1%
- pathways for mitigating bias in predictive policing | Service ... (opens in a new tab) · <1%
- A fairness-focused approach to recidivism prediction: implications for accuracy, trust, and equity - AI & SOCIETY (opens in a new tab) · <1%
- Quantifying fairness in spatial predictive policing | Artificial Intelligence and Law | Springer Nature Link (opens in a new tab) · <1%
- Search-based fairness testing for regression-based machine learning systems | Empirical Software Engineering | Springer Nature Link (opens in a new tab) · <1%
- From human resources to human rights: Impact assessments for hiring algorithms - Ethics and Information Technology (opens in a new tab) · <1%
- Auditing of AI: Legal, Ethical and Technical Approaches (opens in a new tab) · <1%
- 3%
- AI in Law Enforcement: Predictive Policing, Facial Recognition, and ... (opens in a new tab) · <1%
- Detection and Mitigation of Bias in Credit Scoring Applications (opens in a new tab) · <1%
- (PDF) Adaptive Governance for AI Companies: Resolving the OpenAI Leadership Crisis through Dynamic Stakeholder Prioritization (opens in a new tab) · <1%
- Predictive policing and algorithmic fairness - ResearchGate (opens in a new tab) · <1%
- (PDF) Navigating and reviewing ethical dilemmas in AI development: Strategies for transparency, fairness, and accountability (opens in a new tab) · <1%
- Evidence of What, for Whom? The Socially Contested Role of ... (opens in a new tab) · <1%
- (PDF) Revolutionizing AI Governance: Addressing Bias and Ensuring Accountability Through the Holistic AI Governance Framework (opens in a new tab) · <1%
- Mitigating Algorithmic Discrimination in Cloud AI for Financial ... (opens in a new tab) · <1%
- (PDF) BIAS AUDIT FRAMEWORKS: DEVELOPING TOOLS FOR ... (opens in a new tab) · <1%
- 2%
- NYC Local Law 144 Bias Audit · Bias Audit USA (opens in a new tab) · 2%
- FAQ · Bias Audit USA (opens in a new tab) · 1%
- Bias Audit USA (opens in a new tab) · <1%
- NYC Local Law 144: Compliance and Enforcement by the ... (opens in a new tab) · <1%
- Resources: NYC Local Law 144 and AI Bias Audits · Bias Audit USA (opens in a new tab) · <1%
- 2%
- Wolters Kluwer US Regulatory Consulting (opens in a new tab) · 1%
- Fair Lending Wiz® - fair lending management solution | Wolters Kluwer (opens in a new tab) · <1%
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- How internal audit must respond to the EU AI Act - Wolters Kluwer (opens in a new tab) · <1%
- 2%
- BABL AI: Conducting third-party audits for automated employment decision tools - OECD.AI (opens in a new tab) · 2%
- Aequitas:Bias and Fairness Audit Toolkit - OECD.AI (opens in a new tab) · <1%
- Credo AI Responsible AI Governance Platform - OECD.AI (opens in a new tab) · <1%
- Credo AI Policy Packs: Human Resources Startup compliance ... (opens in a new tab) · <1%
- 2%
- Exploring the New York City algorithmic bias audit regime (opens in a new tab) · 1%
- Lessons for Algorithmic Accountability from Local Law 144's ... (opens in a new tab) · <1%
- Outsider Oversight: Designing a Third Party Audit Ecosystem for AI ... (opens in a new tab) · <1%
- Algorithm Auditing Policies Rest on Flawed Assumptions ... (opens in a new tab) · <1%
- Who Audits the Auditors? Recommendations from a field scan of the algorithmic auditing ecosystem (opens in a new tab) · <1%
- Analysis on The Effectiveness of Augmented Artificial Intelligence Implementation in Preventing Fraudulent Financial Statement by Utilizing Beneish M-Score Model (opens in a new tab) · <1%
- 2%
- Algorithmic discrimination: examining its types and regulatory measures with emphasis on US legal practices (opens in a new tab) · 1%
- Fairness as an afterthought: An American perspective on fairness in model developer-clinician user collaborations - PMC (opens in a new tab) · <1%
- Public attitudes on performance for algorithmic and human decision-makers (opens in a new tab) · <1%
- Bias in AI systems: integrating formal and socio-technical approaches - PMC (opens in a new tab) · <1%
- Checking your browser - reCAPTCHA (opens in a new tab) · <1%
- Companies Committed to Responsible AI: From Principles towards Implementation and Regulation? - PMC (opens in a new tab) · <1%
- AI bias: exploring discriminatory algorithmic decision-making models ... (opens in a new tab) · <1%
- 2%
- Algorithmic Bias, Financial Inclusion, and Gender (opens in a new tab) · 2%
- Sexist AI? What to do about gender-based algorithmic bias in the financial sector - Women's World Banking (opens in a new tab) · 1%
- Algorithmic Bias, Financial Inclusion, and Gender - Women's World Banking (opens in a new tab) · 1%
- Women’s World Banking Hosts Panel to Explore AI’s Role in Developing Gender Sensitive Financial Solutions (opens in a new tab) · <1%
- Check Your Bias A Field Guide for Lenders - Women's World Banking (opens in a new tab) · <1%
- Lists CrowdStrike, CrowdStrike Falcon, Datadog and 2 more2%
- Arthur | AI governance for everyone (opens in a new tab) · 1%Lists CrowdStrike, CrowdStrike Falcon, Datadog and 2 more
- How to Build an AI Governance Framework: 10-Step Guide [2026] (opens in a new tab) · <1%
- Making models more fair: everything you need to know about algorithmic bias mitigation (opens in a new tab) · <1%
- Downstream Fairness: A New Way to Mitigate Bias (opens in a new tab) · <1%
- Top AI Governance Platforms for Agentic AI in 2026 | Arthur (opens in a new tab) · <1%
- Observability | Arthur (opens in a new tab) · <1%
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- AI Fairness Audit & Bias Mitigation Services | Veriprajna (opens in a new tab) · 1%
- AI Fairness Audit & Bias Mitigation Services | Veriprajna (opens in a new tab) · 1%
- AI Governance & Regulatory Compliance (opens in a new tab) · <1%
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- 2%
- CFPB Issues Guidance on Credit Denials by Lenders Using Artificial Intelligence | Consumer Financial Protection Bureau (opens in a new tab) · 1%
- Consumer Financial Protection Circular 2022-03: Adverse action notification requirements in connection with credit decisions based on complex algorithms | Consumer Financial Protection Bureau (opens in a new tab) · 1%
- Providing equal credit opportunities (ECOA) | Consumer Financial Protection Bureau (opens in a new tab) · 1%
- CFPB Acts to Protect the Public from Black-Box Credit Models Using Complex Algorithms | Consumer Financial Protection Bureau (opens in a new tab) · <1%
- Equal Credit Opportunity Act (ECOA) baseline review procedures | Consumer Financial Protection Bureau (opens in a new tab) · <1%
- Guaranteeing Fair Banking for All Americans and Fighting Debanking | Consumer Financial Protection Bureau (opens in a new tab) · <1%
- 2%
- AI in Fair Lending: Innovation Meets Compliance - CrossCheck Compliance LLC (opens in a new tab) · 1%
- Fair Lending Compliance Services | CrossCheck (opens in a new tab) · <1%
- Bank Regulatory Compliance Services | CrossCheck (opens in a new tab) · <1%
- Fintech Compliance Services | CrossCheck Compliance (opens in a new tab) · <1%
- Fair Lending Compliance: Risk Assessment | Monitoring | Analysis (opens in a new tab) · <1%
- Automated underwriting to AI: How fair lending risk oversight must evolve (opens in a new tab) · <1%
- 2%
- Fairlearn: A toolkit for assessing and improving fairness in AI - Microsoft Research (opens in a new tab) · 1%
- Responsible AI Tools and Practices | Microsoft AI (opens in a new tab) · <1%
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- Assessing and mitigating unfairness in credit models with the Fairlearn toolkit - Microsoft Research (opens in a new tab) · <1%
- The Fair Lending Model: How the Longest-Running Algorithmic Fairness Programs Work in Practice - Microsoft Research (opens in a new tab) · <1%
- The Fair Lending Model: How the Longest-Running Algorithmic Fairness Programs Work in Practice - Microsoft Research (opens in a new tab) · <1%
- 2%
- Top 10 AI Responsible AI Frameworks Tools in 2026 (opens in a new tab) · <1%
- Top 10 Bias & Fairness Testing Suites: Features, Pros, Cons & Comparison (opens in a new tab) · <1%
- Top 10 AI Fairness Assessment Tools Solutions in 2026: Features, Pros, Cons & Comparison (opens in a new tab) · <1%
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- Top 10 Bias & Fairness Testing Tools: Features, Pros, Cons & Comparison (opens in a new tab) · <1%
- Lists Amazon SageMaker and Articulate Rise 3602%
- Artificial Intelligence Risk Management Framework: Generative Artificial Intelligence Profile (opens in a new tab) · 1%Lists Amazon SageMaker and Articulate Rise 360
- Artificial Intelligence Risk Management Framework (AI RMF 1.0) (opens in a new tab) · <1%
- 1%
- Algorithmic Justice League - Unmasking AI harms and biases (opens in a new tab) · 1%
- Who Audits the Auditors? - Algorithmic Justice League (opens in a new tab) · 1%
- Mission, Team and Story - The Algorithmic Justice League (opens in a new tab) · <1%
- Request Algorithmic Audit - The Algorithmic Justice League (opens in a new tab) · <1%
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