model_data/gemma-scorecard-json.json

{
  "metadata": {
    "Name": "Gemma 2",
    "Provider": "Google",
    "URL": "https://ai.google.dev/gemma/docs/model_card_2",
    "Type": "Large Language Model",
    "Modalities": [
      "Text-to-Text"
    ]
  },
  "scores": {
    "1. Bias, Stereotypes, and Representational Harms Evaluation": {
      "1.1 Bias Detection Overview": {
        "status": "Yes",
        "sources": [
          {
            "type": "🌐",
            "detail": "https://ai.google.dev/gemma/docs/model_card_2#data_preprocessing",
            "name": "Model Card - Data Preprocessing"
          },
          {
            "type": "🌐",
            "detail": "https://developers.googleblog.com/en/gemma-explained-new-in-gemma-2/",
            "name": "Developer Blog"
          },
          {
            "type": "🌐",
            "detail": "https://arxiv.org/html/2410.12864",
            "name": "Bias Analysis Paper"
          }
        ],
        "questions": {
          "Evaluations at various stages (data collection, preprocessing, AI system architecture, training, deployment)": true,
          "Have intrinsic properties of the AI system been evaluated for bias (e.g., embedding analysis)": true,
          "Have extrinsic bias evaluations been run (e.g., downstream task performance)": true,
          "Have evaluations been run across all applicable modalities": true,
          "Have bias evaluations been run that take the form of automatic quantitative evaluation": true,
          "Have bias evaluations been run with human participants?": true
        }
      },
      "1.2 Protected Classes and Intersectional Measures": {
        "status": "Yes",
        "sources": [
          {
            "type": "🌐",
            "detail": "https://ai.google.dev/gemma/docs/model_card_2#evaluation_results",
            "name": "Model Card - Evaluation Results"
          }
        ],
        "questions": {
          "Do evaluations cover all applicable legal protected categories for in-scope uses of the system?": true,
          "Do evaluations cover additional subgroups that are likely to be harmed based on other personal characteristics": false,
          "Evaluation of how different aspects of identity interact and compound in AI system behavior": false,
          "Evaluation of AI system biases for legal protected categories and additional relevant subgroups": false
        }
      },
      "1.3 Measurement of Stereotypes and Harmful Associations": {
        "status": "Yes",
        "sources": [
          {
            "type": "🌐",
            "detail": "https://arxiv.org/abs/2009.11462",
            "name": "Stereotype Analysis"
          }
        ],
        "questions": {
          "Measurement of known stereotypes in AI system outputs": true,
          "Measurement of other negative associations and assumptions regarding specific groups": true,
          "Measurement of stereotypes and negative associations across in-scope contexts": false
        }
      },
      "1.4 Bias Evaluation Transparency and Documentation": {
        "status": "Yes",
        "sources": [
          {
            "type": "🌐",
            "detail": "https://arxiv.org/pdf/2403.13793",
            "name": "Evaluation Documentation"
          }
        ],
        "questions": {
          "Sufficient documentation of evaluation method to understand the scope of the findings": false,
          "Sufficient documentation of evaluation methods to replicate findings": true,
          "Sufficient documentation of evaluation results to support comparison": true,
          "Documentation of bias mitigation measures": false,
          "Documentation of bias monitoring approaches": false
        }
      }
    },
    "2. Cultural Values and Sensitive Content Evaluation": {
      "2.1 Cultural Variation Overview": {
        "status": "Yes",
        "sources": [
          {
            "type": "🌐",
            "detail": "https://aclanthology.org/2024.findings-emnlp.942.pdf",
            "name": "Cultural Variation Analysis"
          }
        ],
        "questions": {
          "Evaluations at various stages": false,
          "Have intrinsic properties been evaluated for cultural variation": false,
          "Have extrinsic cultural variation evaluations been run": true,
          "Have evaluations been run across all applicable modalities": true,
          "Have cultural variation evaluations been run that take the form of automatic quantitative evaluation": true,
          "Have cultural variation evaluations been run with human participants?": false
        }
      },
      "2.2 Cultural Diversity and Representation": {
        "status": "N/A",
        "sources": [],
        "questions": {
          "Use of evaluation methods developed in the cultural contexts in scope": false,
          "Respect of indigenous sovereignty, protected rights, and cultural norms": false,
          "Evaluation of cultural variation across geographic dimensions": false,
          "Evaluation of cultural variation representing communities' perspectives": false,
          "Analysis of how cultural context affects AI system performance": false
        }
      },
      "2.3 Generated Sensitive Content across Cultural Contexts": {
        "status": "Yes",
        "sources": [
          {
            "type": "🌐",
            "detail": "https://arxiv.org/html/2408.00118v1#S6",
            "name": "Content Safety Analysis"
          }
        ],
        "questions": {
          "Has the AI system been evaluated for its likelihood of facilitating generation of threatening or violent content": true,
          "Has the AI system been evaluated for its likelihood of facilitating generation of targeted harassment or discrimination": false,
          "Has the AI system been evaluated for its likelihood of facilitating generation of hate speech": false,
          "Has the AI system been evaluated for content embedding values not reflective of user cultural context": false,
          "Has the AI system been evaluated for exposing users to inappropriate content": false,
          "Has the AI system been evaluated for content with negative psychological impacts": true,
          "Has the evaluation explicitly addressed cultural variation": false
        }
      },
      "2.4 Cultural Variation Transparency and Documentation": {
        "status": "N/A",
        "sources": [],
        "questions": {
          "Documentation of cultural contexts considered during development": false,
          "Documentation of cultural contexts covered by evaluations": false,
          "Sufficient documentation of evaluation method": false,
          "Sufficient documentation of evaluation methods to replicate findings": false,
          "Sufficient documentation of evaluation results": false,
          "Documentation of psychological impact on evaluators": false,
          "Documentation of evaluator well-being measures": false
        }
      }
    },
    "3. Disparate Performance Evaluation": {
      "3.1 Disparate Performance Overview": {
        "status": "N/A",
        "sources": [],
        "questions": {
          "Have development choices been evaluated for disparate performance contribution": false,
          "Have extrinsic disparate performance evaluations been run": false,
          "Have evaluations been run across all applicable modalities": false,
          "Have disparate performance evaluations been run quantitatively": false,
          "Have disparate performance evaluations been run with human participants": false
        }
      },
      "3.2 Identifying Target Groups": {
        "status": "N/A",
        "sources": [],
        "questions": {
          "Identification of mandated target groups": false,
          "Identification of additional potentially harmed groups": false,
          "Assessment of systemic barriers in data collection": false,
          "Consideration of historical disparities": false,
          "Identification of implicit and explicit markers": false
        }
      },
      "3.3 Subgroup Performance Analysis": {
        "status": "N/A",
        "sources": [],
        "questions": {
          "Non-aggregated evaluation results across subpopulations": false,
          "Metrics for decision-making tasks": false,
          "Metrics for other tasks including generative": false,
          "Worst-case subgroup performance analysis": false,
          "Intersectional analysis": false,
          "Evaluation of implicit social group markers": false
        }
      },
      "3.4 Transparency and Documentation": {
        "status": "N/A",
        "sources": [],
        "questions": {
          "Documentation of evaluation method scope": false,
          "Documentation of evaluation methods for replication": false,
          "Documentation of evaluation results for comparison": false,
          "Documentation of mitigation measures": false,
          "Documentation of monitoring approaches": false
        }
      }
    },
    "4. Environmental Costs and Carbon Emissions Evaluation": {
      "4.1 Environmental Costs Overview": {
        "status": "N/A",
        "sources": [],
        "questions": {
          "Evaluations of different processes": false,
          "Evaluations across modalities": false,
          "Evaluations on standardized benchmarks": false,
          "Community feedback consideration": false,
          "Full supply chain consideration": false
        }
      },
      "4.2 Development Impact": {
        "status": "N/A",
        "sources": [],
        "questions": {
          "FLOPS accounting": false,
          "Energy consumption evaluation": false,
          "Carbon impact evaluation": false,
          "Hardware lifecycle evaluation": false
        }
      },
      "4.3 Deployment Impact": {
        "status": "Yes",
        "sources": [
          {
            "type": "🌐",
            "detail": "https://cloud.google.com/blog/products/ai-machine-learning/performance-deepdive-of-gemma-on-google-cloud",
            "name": "Performance Analysis"
          }
        ],
        "questions": {
          "Evaluation of inference FLOPS": true,
          "Evaluation of common deployment energy consumption": false,
          "Evaluation across deployment settings": false,
          "Evaluation of task-specific variations": false,
          "Evaluation of deployment carbon impact": false,
          "Evaluation of deployment hardware lifecycle": false
        }
      },
      "4.4 Documentation": {
        "status": "N/A",
        "sources": [],
        "questions": {
          "Equipment and infrastructure documentation": false,
          "Evaluation methods documentation": false,
          "Results documentation": false,
          "Documentation for comparison": false
        }
      }
    },
    "5. Privacy and Data Protection Evaluation": {
      "5.1 Overview": {
        "status": "Yes",
        "sources": [
          {
            "type": "🌐",
            "detail": "https://arxiv.org/pdf/2408.00118",
            "name": "Privacy Evaluation"
          }
        ],
        "questions": {
          "Evaluations at various stages": true,
          "Intrinsic privacy vulnerability evaluation": false,
          "Extrinsic privacy evaluations": true,
          "Evaluations across modalities": false,
          "Quantitative privacy evaluations": true,
          "Human participant privacy evaluations": false
        }
      },
      "5.2 Privacy Harms": {
        "status": "Yes",
        "sources": [
          {
            "type": "🌐",
            "detail": "https://arxiv.org/pdf/2408.00118",
            "name": "Privacy Analysis"
          }
        ],
        "questions": {
          "Personal information revelation evaluation": true,
          "Content impersonation evaluation": true,
          "Personal information confabulation evaluation": true
        }
      },
      "5.3 IP and Security": {
        "status": "Yes",
        "sources": [
          {
            "type": "🌐",
            "detail": "https://www.cio.com/article/3567106/latticeflow-launches-first-comprehensive-evaluation-framework-for-compliance-with-the-eu-ai-act.html",
            "name": "Security Evaluation"
          }
        ],
        "questions": {
          "Training data reproduction evaluation": true,
          "Information security risk evaluation": false
        }
      },
      "5.4 Documentation": {
        "status": "Yes",
        "sources": [
          {
            "type": "🌐",
            "detail": "https://ai.google.dev/gemma/docs/model_card_2",
            "name": "Model Card Documentation"
          }
        ],
        "questions": {
          "Evaluation methods documentation": false,
          "Results documentation": false,
          "Limitations documentation": true,
          "Deployment considerations documentation": false,
          "Training data documentation": false
        }
      }
    },
    "6. Financial Costs Evaluation": {
      "6.1 Overview": {
        "status": "N/A",
        "sources": [],
        "questions": {
          "Cost evaluation across stages": false,
          "Component cost evaluation": false,
          "Modality cost evaluation": false,
          "Direct and indirect expense evaluation": false,
          "Cost projection validation": false
        }
      },
      "6.2 Development Costs": {
        "status": "N/A",
        "sources": [],
        "questions": {
          "R&D labor costs": false,
          "Data collection costs": false,
          "Infrastructure costs": false,
          "Training approach costs": false,
          "Architecture impact costs": false
        }
      },
      "6.3 Operation Costs": {
        "status": "N/A",
        "sources": [],
        "questions": {
          "Inference costs": false,
          "Storage costs": false,
          "Scaling costs": false,
          "Deployment context costs": false,
          "Update costs": false
        }
      },
      "6.4 Documentation": {
        "status": "N/A",
        "sources": [],
        "questions": {
          "Methodology documentation": false,
          "Cost breakdown documentation": false,
          "Usage scenario documentation": false,
          "Projection documentation": false
        }
      }
    },
    "7. Data and Content Moderation Labor Evaluation": {
      "7.1 Overview": {
        "status": "N/A",
        "sources": [],
        "questions": {
          "Labor practice evaluation": false,
          "Worker category evaluation": false,
          "Task type evaluation": false,
          "Industry standard evaluation": false,
          "Worker type evaluation": false,
          "Regional context evaluation": false
        }
      },
      "7.2 Working Conditions": {
        "status": "N/A",
        "sources": [],
        "questions": {
          "Compensation assessment": false,
          "Job security assessment": false,
          "Workplace safety evaluation": false,
          "Worker autonomy assessment": false,
          "Power dynamics evaluation": false
        }
      },
      "7.3 Worker Wellbeing": {
        "status": "N/A",
        "sources": [],
        "questions": {
          "Support system assessment": false,
          "Content preparation evaluation": false,
          "Cultural support evaluation": false
        }
      },
      "7.4 Documentation": {
        "status": "N/A",
        "sources": [],
        "questions": {
          "Methodology documentation": false,
          "Demographics documentation": false,
          "Support system documentation": false,
          "Incident reporting documentation": false
        }
      }
    }
  }
}