About us

ModelCard.ai is not just a tool for transparency

it’s a framework for managing the AI/ML lifecycle within an organization. It ensures that every model is accounted for, risks are managed, compliance is upheld, and knowledge is shared, all of which contribute to a responsible and effective AI/ML strategy.

01

Modelcard.ai

Can act as a centralized repository for all AI/ML models within an organization. Each card details the version, use case, data categories, risks, and applicable legislation, allowing for an at-a-glance inventory that is both comprehensive and organized.

02

With Modelcard.ai
Different departments can contribute to and access information about the AI/ML models in use, ensuring alignment across the organization.

03

Modelcard.ai

AI Transparency, Simplified.

Clarify

Demystify your AI models for all stakeholders.

Navigate

Navigate regulations with confidence.

Ethics

Commit to responsible AI with our comprehensive services.

Join

Be at the forefront of transparent AI. Join Modelcard.ai

About us

At modelcard.ai, we believe that transparency is the cornerstone of trust in artificial intelligence.

In a world increasingly driven by AI and machine learning, understanding the ‘how’ and ‘why’ behind algorithmic decisions is not just a regulatory requirement—it’s a fundamental consumer right. Founded by a team of AI ethicists, Modelcard.ai is our commitment to this belief—a platform designed to demystify complex AI models and foster an environment of clarity and accountability.

Our cards

What about the cards?

Our cards

Criminal Sentence Optimization

Name: Criminal Sentence Optimization
Version: 3
Risk: 4/5
Accuracy: 98.3%
Accuracy: To determine optimal sentencing length for criminal offenders.
Claims Classifier:
  • Alignment Observation
  • Bias Audit
  • Fairness
  • Drift Monitoring
  • Data Governance
  • MLOps
Use Case Description: To determine optimal sentencing length for criminal offenders
Data Categories:
  • Criminal records
  • Demographic info
  • Public records information
Risks:
  • Inaccurate sentencing length
  • Possible discrimination
    Applicable Legislation:
    • Fair Credit Reporting Act
    • Constitutional Rights
    • General Data Protection Regulation
    • California Consumer Privacy Act

    HR Software Company Hiring Recommendation

    Name: HR Software Company Hiring Recommendation
    Version: 1.12
    Risk: 5/5
    Accuracy: 98.3%
    Claims Classifier:
    • Alignment Observation
    • Bias Audit
    • Fairness
    • Drift Monitoring
    • Data Governance
    • MLOps
    Use Case Description: Provides recommendations and suggestions for hiring based on historical performance and profiles within in your organization
    Data Categories:
    • Personal information
    • Financial information
    • HR related data
    Risks:
    • Unsupervised hiring decisions
    • Potential future biases as further training occurs
      Applicable Legislation:
      • NYC 144
      • General Data Protection Regulation
      • California Consumer Privacy Act

      Credit Approval

      Name: Credit Approval
      Version: 2
      Risk: 3/5
      Accuracy: 99.5%
      Claims Classifier:
      • Alignment Observation
      • Bias Audit
      • Fairness
      • Drift Monitoring
      • Data Governance
      • MLOps
      Use Case Description:
      “>

      To qualify credit applicants and distinguish ability to fulfill loan terms
      Data Categories:
      • Personal information
      • Financial information
      • Demographic information
      • Employment history
      Risks:
      • False positives
      • False negatives
        Applicable Legislation:
        • Fair Credit Reporting Act
        • Constitutional Rights
        • General Data Protection Regulation
        • California Consumer Privacy Act

        Care Predict

        Name: Care Predict
        Version 2
        Risk: 5/5
        Accuracy: 99.5%
        Claims Classifier:
        • Alignment Observation
        • Bias Audit
        • Fairness
        • Drift Monitoring
        • Data Governance
        • MLOps
        Use Case Description: To determine appropriate healthcare investments based on optimal medical practices
        Data Categories:
        • Personal health information
        Risks:
        • Inaccurate sentencing length
        • Possible discrimination
          Applicable Legislation:
          • Fair Credit Reporting Act
          • Constitutional Rights
          • General Data Protection Regulation
          • California Consumer Privacy Act 

          Feedback

          Michael Reese

          Lemon Squeezy

          It was the first notification for my market and I was the first to connect with the agent to get the listing. Got the referral form sent out and sellers contact info – just getting them prepped for the listing.

          Michael Reese

          Kick Link

          It was the first notification for my market and I was the first to connect with the agent to get the listing. Got the referral form sent out and sellers contact info – just getting them prepped for the listing.

          Our mission

          Our mission is to empower organizations to deploy AI with confidence.

          Modelcard.ai provides an intuitive framework for documenting and sharing the inner workings of machine learning models. From use cases and data categories to risk assessments and compliance with global regulations, our tool maps the inner workings of AI applications, making this information accessible to all stakeholders.

          Our vision

          Every machine learning model is as comprehensible as it is powerful.

          We envision a future where every machine learning model is as comprehensible as it is powerful, promoting not only innovation but also integrity and trust. For developers, this means a seamless way to convey their model’s strengths and considerations. For business leaders, it’s a clear line of sight into the AI driving their operations. And for end-users, it’s the assurance that the AI they interact with upholds the highest standards of transparency and fairness.

          In bridging the gap between AI capabilities and human understanding, modelcard.ai doesn’t just help organizations meet the industry benchmarks—it sets them. Join us in setting a new standard for responsible AI, one model card at a time.

          Contact Us




            AI, demystified. Trust, earned. Standards, elevated.

            Welcome to Modelcard.ai