{
  "affects": {
    "artifacts": [
      {
        "name": "EleutherAI/gpt-neo-125M",
        "type": "Model"
      }
    ],
    "deployer": [
      "HuggingFace"
    ],
    "developer": [
      "EleutherAI"
    ]
  },
  "credit": [
    {
      "lang": "eng",
      "value": "Subho Majumdar, AVID"
    }
  ],
  "data_type": "AVID",
  "data_version": "0.1",
  "description": {
    "lang": "eng",
    "value": "xyz xyz"
  },
  "impact": {
    "avid": {
      "lifecycle_view": [
        "L05: Evaluation"
      ],
      "risk_domain": [
        "Ethics"
      ],
      "sep_view": [
        "E0101: Group fairness"
      ],
      "taxonomy_version": "0.1"
    }
  },
  "last_modified_date": "2022-12-23",
  "metadata": {
    "vuln_id": "AVID-2022-V003"
  },
  "problemtype": {
    "classof": "LLM Evaluation",
    "description": {
      "lang": "eng",
      "value": "Multiple fairness harms found in generated text from EleutherAI/gpt-neo-125M"
    }
  },
  "published_date": "2022-12-23",
  "references": [
    {
      "label": "gpt-neo-125M on Hugging Face",
      "url": "https://huggingface.co/EleutherAI/gpt-neo-125M"
    }
  ],
  "reports": [
    {
      "name": "Demographic bias found in EleutherAI/gpt-neo-125M for multiple sensitive categories, as measured on prompts supplied in the BOLD dataset",
      "report_id": "AVID-2022-R0005",
      "type": "Detection"
    }
  ]
}