How HumanLens Works

HumanLens.ai empowers teams with a seamless, auditable, and risk-aware process for deploying AI with confidence.

1.

SDK Integration & Evaluation

Developers run our test functions directly in their workflow, generating objective scores and a review-ready sample for manual human validation.

2.

Contextual Risk Assessment

The platform automatically combines test results with the model's use case to determine its overall risk level.

3.

Automated Workflow & Auditing

High-risk models are flagged for review, with the results of both automated testing and manual validation routed to governance teams, creating an auditable trail for compliance.

Model Evaluation Metrics

Our SDK provides objective, repeatable tests for the most critical AI risks, generating auditable evidence for governance teams.

Accuracy Score

Measures how well the model's answers align with ground-truth data, ensuring reliability and trustworthiness in its outputs.

Hallucination Rate

Calculates the percentage of claims in an answer that are not factually supported by the provided context, preventing the spread of misinformation.

Fairness Analysis

Identifies potential biases by comparing model performance across different demographic segments to ensure equitable outcomes.

The Power of Context-Aware Risk

Identical test scores don't mean identical risk. HumanLens.ai understands that a model's use case is the critical factor in its overall risk profile.

Model A: Marketing Copy Generator

Generates creative slogans for marketing campaigns.

Accuracy: 95%

Hallucination Rate: 5%

Use Case Risk: Low

Overall Risk Level: LOW

Model B: Employee Hiring Screener

Screens resumes and ranks candidates for job openings.

Accuracy: 95%

Hallucination Rate: 5%

Use Case Risk: High

Overall Risk Level: HIGH

Enable Scalable, Auditable, and Responsible AI.

HumanLens.ai provides the tools to build trust, ensure compliance, and deploy AI with confidence.

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