Environmental harm

{
  "id": "environmental_harm",
  "category_id": "risks_mitigation",
  "title": [
    {
      "locale": "en",
      "value": "Environmental harm"
    }
  ],
  "description": [
    {
      "locale": "en",
      "value": "The risk that the AI system causes environmental degradation through energy consumption, water use, e-waste, carbon emissions, or resource extraction for hardware. This includes risks from training-time compute, always-on inference, cooling demands of data centers, and rapid hardware churn. Mitigations may include energy and water efficiency targets, transparent reporting of compute footprint, hardware-lifecycle planning, and renewable-energy procurement for data-centre operations."
    }
  ],
  "authoring_guidance": [],
  "examples": [],
  "sources": [],
  "symbol_id": "risks_environmental",
  "variables": [
    {
      "id": "risk",
      "label": [
        {
          "locale": "en",
          "value": "Description of the risk"
        }
      ],
      "required": true,
      "kind": "localized_text"
    },
    {
      "id": "mitigation",
      "label": [
        {
          "locale": "en",
          "value": "Description of the mitigation"
        }
      ],
      "required": false,
      "kind": "localized_text"
    }
  ],
  "shape": "octagon",
  "icon_variants": [
    "default",
    "dark"
  ]
}