Generative AI Bias Analysis

Independent research-based consulting built on the GENbAIs framework.

⚠️ Critical Legal Development

New Stanford Law research reveals companies using AI face direct legal liability for bias – most don't even know their risk exposure

πŸ”¬ Built on Systematic Research

This consulting practice is founded on the GENbAIs research framework – a comprehensive systematic study of LLM bias patterns across multiple dimensions.

8 Models Analyzed
2,960 Responses Tested
100 Bias Types
5,807 Bias Instances
6 Cognitive Dimensions

Why this matters: This consulting is based on documented patterns from systematic research that revealed bias signatures across every major LLM provider.

🚨 The Stanford Research Findings Your Company Needs to Understand

Professor Julian Nyarko's Stanford Law research reveals a critical gap: "It would be more effective from a legal and policy perspective to hold accountable the companies that are deploying the models in a particular use case."

Context-Specific Risk

Stanford Finding: "A bias mitigation strategy trained on financial decision-making does not necessarily work for commercial transactions or hiring decisions"

Your Risk: Each AI use case may have different bias patterns that generic audits miss

Legal Liability Shift

Legal Trend: Recent cases like Mobley v. Workday raise questions about whether companies deploying AI should face the same scrutiny as developers

Your Challenge: How do you prove compliance without proper context-specific testing?

EU AI Act Compliance

Regulatory Approach: Risk-based compliance with "additional obligations on companies using AI for high-risk applications"

Your Need: Documentation of actual bias testing, not just vendor assurances

Critical Research Insight: As Professor Nyarko explains, "The real challenge here is that bias in AI models doesn't exist in a single, fixed locationβ€”it shifts depending on context." This is exactly what our GENbAIs research documented across thousands of instances.

πŸ›‘οΈ Research-Based AI Bias Detection Services

πŸ” Comprehensive Bias Risk Assessment

Systematic analysis of bias patterns in your actual AI deployments using GENbAIs methodology

$15,000 - $35,000

Timeline: 2-4 weeks

  • Testing your real prompts and workflows
  • Six-dimensional cognitive profile analysis
  • Industry-specific bias pattern identification
  • Regulatory compliance gap analysis
  • Clear documentation for legal/audit purposes
  • Executive briefing and team training

πŸ› οΈ Custom Bias Detection Implementation

Build internal capabilities for ongoing bias monitoring based on proven research methods

$25,000 - $50,000

Timeline: 4-6 weeks

  • Custom bias detection tools for your use cases
  • GENbAIs framework adaptation for your context
  • Team training on systematic bias identification
  • Integration with existing AI workflows
  • Documentation and testing protocols
  • 3-month support and refinement period

πŸ“Š Ongoing Research Partnership

Continuous monitoring and analysis as AI models and regulations evolve

$5,000 - $15,000/month

Timeline: 6-month or annual contracts

  • Monthly bias pattern analysis and reporting
  • New model testing and comparison
  • Regulatory change monitoring and impact assessment
  • Quarterly strategic reviews
  • Priority support for urgent bias issues
  • Access to latest GENbAIs research findings
Investment Perspective: A single bias-related lawsuit typically costs $2-15 million in legal fees alone, plus potential damages and regulatory fines. Systematic bias analysis before problems emerge is both cheaper and more effective than reactive damage control.

πŸ§ͺ The GENbAIs Methodology Advantage

This isn't generic bias consulting. This is systematic analysis based on documented research patterns across multiple LLM providers and real-world scenarios.

🎯 Context-Specific Testing

Unlike one-size-fits-all audits, we test YOUR actual prompts, workflows, and use cases to identify the specific bias patterns that affect your business.

🧠 Six-Dimensional Analysis

Comprehensive psychological profiling across Detection Capability, Self-Application, Consistency, Cognitive Bias Resistance, Self-Awareness, and Objectivity.

πŸ“Š Systematic Documentation

Clear, detailed findings that stand up to legal and regulatory scrutiny, not vague consultant-speak that means nothing.

πŸ”„ Continuous Improvement

Methods continuously refined based on ongoing research findings and real-world deployment experiences.

🎯 Why Choose Independent Research-Based Analysis

Full transparency: This isn't a massive consulting firm with standardized methodologies. This is systematic research applied to solve your specific bias challenges.

Direct Access: You work directly with the researcher, not junior consultants reading from scripts
Documented Methods: All approaches based on systematic research with open methodology and tools you can verify
No Vendor Conflicts: Independent analysis not influenced by relationships with AI providers
Hands-On Experience: Built actual bias detection tools, not just written reports about them
Cutting-Edge Research: Access to latest findings from ongoing systematic bias research

Start With Understanding Your Real Risk

Most companies have no idea what biases exist in their AI systems.
Let's find out what you're actually dealing with.

Schedule Research Consultation View Full Research Framework

Free 30-minute research consultation
I'll analyze one of your AI use cases and show you exactly what kind of bias patterns to look for and how to document them properly.