model_data/model_c_data.json

{
  "metadata": {
    "Name": "Model C",
    "Provider": "TechStart",
    "Version": "1.0",
    "Release Date": "2023-12-15",
    "Type": "Specialized NLP Model",
    "Modalities": ["Text-to-Text"]
  },
  "scores": {
    "Bias, Stereotypes, and Representational Harms Evaluation": {
      "Comprehensive Evaluation Methodology": {
        "status": "No",
        "source": null,
        "applicable_evaluations": [
          "Evaluations at various stages (data collection, preprocessing, model architecture, training, deployment)",
          "Both intrinsic (e.g., embedding analysis) and extrinsic (e.g., downstream task performance) evaluation methods"
        ]
      },
      "Inclusive Protected Class Consideration": {
        "status": "No",
        "source": null,
        "applicable_evaluations": [
          "Evaluation of non-standard protected classes (e.g., socioeconomic status, education level, regional differences)",
          "Consideration of intersectionality and how identity aspects interact"
        ]
      },
      "Cultural and Linguistic Diversity": {
        "status": "No",
        "source": null,
        "applicable_evaluations": [
          "Tests of model performance and biases across languages and cultures",
          "Consideration of how protected categories may shift in meaning across regions"
        ]
      },
      "Stereotype and Harmful Association Detection": {
        "status": "No",
        "source": null,
        "applicable_evaluations": [
          "Detection of stereotypical word associations in text models",
          "Sentiment analysis and toxicity measurements, especially regarding specific groups"
        ]
      },
      "Performance Disparities Assessment": {
        "status": "No",
        "source": null,
        "applicable_evaluations": [
          "Detailed breakdowns of performance metrics (accuracy, precision, recall) for various subgroups",
          "Performance analysis for disadvantaged subgroups"
        ]
      },
      "Bias Mitigation and Impact Analysis": {
        "status": "No",
        "source": null,
        "applicable_evaluations": [
          "Documentation of bias mitigation strategies",
          "Analyses of how model updates or mitigations affect bias metrics"
        ]
      },
      "Transparency and Limitations Disclosure": {
        "status": "No",
        "source": null,
        "applicable_evaluations": [
          "Clear statements on the capabilities and limitations of evaluation methods",
          "Acknowledgment of potential biases from the evaluation tools/processes"
        ]
      },
      "Ongoing Evaluation Commitment": {
        "status": "No",
        "source": null,
        "applicable_evaluations": [
          "Plans for continual bias assessment as the model is updated or deployed in new contexts",
          "Commitments to transparency and regular reporting on bias-related issues"
        ]
      }
    },
    "Cultural Values and Sensitive Content Evaluation": {
      "Hate Speech and Toxicity Evaluation": {
        "status": "No",
        "source": null,
        "applicable_evaluations": [
          "Assessments of harmful text generation",
          "Evaluations of toxicity, hurtfulness, or offensiveness"
        ]
      },
      "Cultural Value Representation": {
        "status": "No",
        "source": null,
        "applicable_evaluations": [
          "Use of pre-existing scholarship (e.g., World Values Survey, Geert Hofstede's work)",
          "Assessments of ethical scenarios and political value representation"
        ]
      },
      "Diverse Cultural Context": {
        "status": "No",
        "source": null,
        "applicable_evaluations": [
          "Assessments that don't equate nationality with cultural context",
          "Representation of differing cultural values within countries"
        ]
      },
      "Sensitive Content Identification": {
        "status": "No",
        "source": null,
        "applicable_evaluations": [
          "Recognition of topics that vary by culture and viewpoint",
          "Evaluation of adult sexual content identification"
        ]
      },
      "Impact of Generated Content": {
        "status": "No",
        "source": null,
        "applicable_evaluations": [
          "Assessment of potential harm to targeted viewers",
          "Evaluation of content's potential to normalize harmful ideas"
        ]
      },
      "Multidimensional Cultural Analysis": {
        "status": "No",
        "source": null,
        "applicable_evaluations": [
          "Evaluations at word, sentence, and document levels for text",
          "Multi-level analysis of cultural representation"
        ]
      }
    },
    "Disparate Performance": {
      "Subpopulation Performance Analysis": {
        "status": "No",
        "source": null,
        "applicable_evaluations": [
          "Non-aggregated (disaggregated) evaluation results with in-depth breakdowns across subpopulations",
          "Metrics such as subgroup accuracy, calibration, AUC, recall, precision, min-max ratios"
        ]
      },
      "Cross-lingual and Dialect Evaluation": {
        "status": "No",
        "source": null,
        "applicable_evaluations": [
          "Cross-lingual prompting on standard benchmarks",
          "Examination of performance across dialects"
        ]
      },
      "Image Generation Quality Assessment": {
        "status": "N/A",
        "source": null,
        "applicable_evaluations": []
      },
      "Data Duplication and Bias Analysis": {
        "status": "No",
        "source": null,
        "applicable_evaluations": [
          "Analysis of the effect of retaining duplicate examples in the training dataset",
          "Evaluation of model bias towards generating certain phrases or concepts"
        ]
      },
      "Dataset Disparities Evaluation": {
        "status": "No",
        "source": null,
        "applicable_evaluations": [
          "Assessment of dataset skew with fewer examples from some subpopulations",
          "Evaluation of feature inconsistencies across subpopulations"
        ]
      },
      "Evaluation of Systemic Issues": {
        "status": "No",
        "source": null,
        "applicable_evaluations": [
          "Assessment of disparities due to dataset collection methods",
          "Evaluation of the impact of varying levels of internet access on data representation"
        ]
      },
      "Long-tail Data Distribution Analysis": {
        "status": "No",
        "source": null,
        "applicable_evaluations": [
          "Assessment of model performance on rare or uncommon data points",
          "Evaluation of the trade-off between fitting long tails and unintentional memorization"
        ]
      }
    },
    "Environmental Costs and Carbon Emissions Evaluation": {
      "Energy Consumption Measurement": {
        "status": "No",
        "source": null,
        "applicable_evaluations": [
          "Measurement of energy used in training, testing, and deploying the system",
          "Evaluation of compute power consumption"
        ]
      },
      "Carbon Footprint Quantification": {
        "status": "No",
        "source": null,
        "applicable_evaluations": [
          "Use of tools like CodeCarbon or Carbontracker",
          "Measurement of carbon emissions for training and inference"
        ]
      },
      "Hardware Resource Evaluation": {
        "status": "No",
        "source": null,
        "applicable_evaluations": [
          "Assessment of CPU, GPU, and TPU usage",
          "Measurement of FLOPS (Floating Point Operations)"
        ]
      },
      "Comprehensive Environmental Impact Assessment": {
        "status": "No",
        "source": null,
        "applicable_evaluations": [
          "Use of Life Cycle Assessment (LCA) methodologies",
          "Evaluation of immediate impacts of applying ML"
        ]
      },
      "Transparency in Environmental Reporting": {
        "status": "No",
        "source": null,
        "applicable_evaluations": [
          "Disclosure of uncertainty around measured variables",
          "Reporting of marginal costs (e.g., added parameters' contribution to energy consumption)"
        ]
      },
      "Comprehensive Environmental Impact Metrics": {
        "status": "No",
        "source": null,
        "applicable_evaluations": [
          "Discussion of different approaches to measuring environmental impact",
          "Use of diverse measurements beyond energy consumption"
        ]
      }
    },
    "Privacy and Data Protection Evaluation": {
      "Data Minimization and Consent Practices": {
        "status": "No",
        "source": null,
        "applicable_evaluations": [
          "Implementation of data minimization practices",
          "Use of opt-in data collection methods"
        ]
      },
      "Memorization and Data Leakage Evaluation": {
        "status": "No",
        "source": null,
        "applicable_evaluations": [
          "Examination of the maximum amount of discoverable information given training data",
          "Evaluation of extractable information without training data access"
        ]
      },
      "Personal Information Revelation Assessment": {
        "status": "No",
        "source": null,
        "applicable_evaluations": [
          "Direct prompting tests to reveal Personally Identifiable Information (PII)",
          "Evaluation of the system's ability to infer personal attributes"
        ]
      },
      "Image and Audio Privacy Evaluation": {
        "status": "N/A",
        "source": null,
        "applicable_evaluations": []
      },
      "Intellectual Property and Copyright Evaluation": {
        "status": "No",
        "source": null,
        "applicable_evaluations": [
          "Assessment of the system's ability to generate copyrighted content",
          "Evaluation of intellectual property concerns in generated content"
        ]
      },
      "Retroactive Privacy Protection": {
        "status": "No",
        "source": null,
        "applicable_evaluations": [
          "Assessment of the system's capability to retroactively retrain in accordance with privacy policies",
          "Evaluation of processes for removing specific data points upon request"
        ]
      },
      "Third-party Hosting Privacy Evaluation": {
        "status": "No",
        "source": null,
        "applicable_evaluations": [
          "Assessment of potential leakage of private input data in generations",
          "Evaluation of system prompt privacy, especially for prompts containing proprietary information"
        ]
      },
      "Generative AI-Specific Privacy Measures": {
        "status": "No",
        "source": null,
        "applicable_evaluations": [
          "Assessment of the applicability of data sanitization techniques to generative models",
          "Evaluation of differential privacy approaches in the context of generative AI"
        ]
      }
    },
    "Financial Costs Evaluation": {
      "Comprehensive Cost Evaluation": {
        "status": "No",
        "source": null,
        "applicable_evaluations": [
          "Estimation of infrastructure and hardware costs",
          "Calculation of labor hours from researchers, developers, and crowd workers"
        ]
      },
      "Storage and Training Cost Analysis": {
        "status": "No",
        "source": null,
        "applicable_evaluations": [
          "Assessment of storage costs for both datasets and resulting models",
          "Evaluation of training costs based on in-house GPUs or per-hour-priced instances"
        ]
      },
      "Hosting and Inference Cost Evaluation": {
        "status": "No",
        "source": null,
        "applicable_evaluations": [
          "Evaluation of low-latency serving costs",
          "Assessment of inference costs based on token usage"
        ]
      },
      "Modality-Specific Cost Analysis": {
        "status": "N/A",
        "source": null,
        "applicable_evaluations": []
      },
      "Long-term Cost Considerations": {
        "status": "No",
        "source": null,
        "applicable_evaluations": [
          "Assessment of pre- and post-deployment costs",
          "Consideration of human labor and hidden costs"
        ]
      },
      "API Cost Evaluation": {
        "status": "No",
        "source": null,
        "applicable_evaluations": [
          "Assessment of token-usage based pricing",
          "Evaluation of cost variations based on initial prompt length and requested token response length"
        ]
      },
      "Comprehensive Cost Tracking": {
        "status": "No",
        "source": null,
        "applicable_evaluations": [
          "Assessment of costs related to broader infrastructure or organizational changes",
          "Evaluation of long-term maintenance and update costs"
        ]
      }
    },
    "Data and Content Moderation Labor Evaluation": {
      "Crowdwork Standards Compliance": {
        "status": "No",
        "source": null,
        "applicable_evaluations": [
          "Assessment of compliance with Criteria for Fairer Microwork",
          "Evaluation against Partnership on AI's Responsible Sourcing of Data Enrichment Services guidelines"
        ]
      },
      "Crowdworker Demographics and Compensation": {
        "status": "No",
        "source": null,
        "applicable_evaluations": [
          "Documentation of crowd workers' demographics",
          "Assessment of how crowdworkers were evaluated and compensated"
        ]
      },
      "Psychological Support and Content Exposure": {
        "status": "No",
        "source": null,
        "applicable_evaluations": [
          "Documentation of immediate trauma support availability",
          "Evaluation of practices for controlling exposure to traumatic material"
        ]
      },
      "Transparency in Crowdwork Documentation": {
        "status": "No",
        "source": null,
        "applicable_evaluations": [
          "Use of transparent reporting frameworks",
          "Documentation of crowdwork's role in shaping AI system output"
        ]
      },
      "Crowdwork Stages and Types": {
        "status": "No",
        "source": null,
        "applicable_evaluations": [
          "Assessment of crowdwork in data gathering, curation, cleaning, and labeling",
          "Evaluation of crowdwork during model development and interim evaluations"
        ]
      },
      "Evaluation of Labor Protection and Regulations": {
        "status": "No",
        "source": null,
        "applicable_evaluations": [
          "Assessment of compliance with relevant labor law interventions by jurisdiction",
          "Evaluation of worker classification and associated protections"
        ]
      },
      "Outsourcing Impact Evaluation": {
        "status": "No",
        "source": null,
        "applicable_evaluations": [
          "Assessment of communication barriers created by outsourcing",
          "Evaluation of differences in working conditions between in-house and outsourced labor"
        ]
      },
      "Impact of Precarious Employment": {
        "status": "No",
        "source": null,
        "applicable_evaluations": [
          "Assessment of job security and its impact on worker feedback",
          "Evaluation of anonymous reporting systems for substandard working conditions"
        ]
      }
    }
  }
}