Risks & Mitigation

{
  "id": "risks_mitigation",
  "name": [
    {
      "locale": "en",
      "value": "Risks & Mitigation"
    }
  ],
  "description": [
    {
      "locale": "en",
      "value": "The risks this AI system could create and how they’re being addressed."
    }
  ],
  "prompt": [
    {
      "locale": "en",
      "value": "What are the risks and how are they mitigated?"
    }
  ],
  "authoring_guidance": [],
  "examples": [],
  "sources": [
    {
      "type": "research_paper",
      "title": "A Collaborative, Human-Centred Taxonomy of AI, Algorithmic, and Automation Harms",
      "url": "https://arxiv.org/abs/2407.01294",
      "citation": "Abercrombie et al. (2024). arXiv:2407.01294. CC BY-SA 4.0."
    }
  ],
  "required": false,
  "order": 4,
  "datachain_type": "ai",
  "shape": "octagon",
  "element_variables": [
    {
      "id": "mitigation",
      "label": [
        {
          "locale": "en",
          "value": "Description of Risks & Mitigations"
        }
      ],
      "required": true
    }
  ]
}

[
  {
    "id": "autonomy_loss",
    "category_id": "risks_mitigation",
    "title": [
      {
        "locale": "en",
        "value": "Loss of autonomy"
      }
    ],
    "description": [
      {
        "locale": "en",
        "value": "The risk that the AI system limits a person's ability to make their own decisions, control their identity, or choose freely. This includes risks of restricted access to alternatives, deceptive design that nudges decisions toward a particular outcome, and lack of meaningful consent. Mitigations may include opt-out mechanisms, transparent recommendations, defaults that protect agency, and human review of consequential decisions."
      }
    ],
    "authoring_guidance": [],
    "examples": [],
    "sources": [],
    "symbol_id": "risks_autonomy",
    "variables": [
      {
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        "required": true
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    ],
    "shape": "octagon",
    "icon_variants": [
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  },
  {
    "id": "civil_liberties_harm",
    "category_id": "risks_mitigation",
    "title": [
      {
        "locale": "en",
        "value": "Civil liberties harm"
      }
    ],
    "description": [
      {
        "locale": "en",
        "value": "The risk that the AI system compromises fundamental human rights and civil liberties — speech, assembly, movement, due process, or freedom from arbitrary surveillance. This includes risks from mass facial recognition, predictive policing, censorship of lawful expression, and chilling effects on protest. Mitigations may include strict purpose limits, judicial or independent oversight, narrow data retention, and human-rights impact assessments before deployment."
      }
    ],
    "authoring_guidance": [],
    "examples": [],
    "sources": [],
    "symbol_id": "risks_civil-liberties",
    "variables": [
      {
        "id": "mitigation",
        "label": [
          {
            "locale": "en",
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          }
        ],
        "required": true
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    ],
    "shape": "octagon",
    "icon_variants": [
      "default",
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  },
  {
    "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": "mitigation",
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          {
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        ],
        "required": true
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    ],
    "shape": "octagon",
    "icon_variants": [
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  },
  {
    "id": "financial_harm",
    "category_id": "risks_mitigation",
    "title": [
      {
        "locale": "en",
        "value": "Financial & business harm"
      }
    ],
    "description": [
      {
        "locale": "en",
        "value": "The risk that the AI system causes financial losses to individuals or organizational damage through erroneous pricing, denied services, fraud, or market manipulation. This includes risks from automated credit decisions, dynamic-pricing inequities, AI-enabled scams, and supply-chain disruption from misuse. Mitigations may include affordability guards, fairness audits of pricing models, fraud-detection layers, and clear redress procedures."
      }
    ],
    "authoring_guidance": [],
    "examples": [],
    "sources": [],
    "symbol_id": "risks_financial",
    "variables": [
      {
        "id": "mitigation",
        "label": [
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            "locale": "en",
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        ],
        "required": true
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    ],
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  },
  {
    "id": "physical_harm",
    "category_id": "risks_mitigation",
    "title": [
      {
        "locale": "en",
        "value": "Physical harm"
      }
    ],
    "description": [
      {
        "locale": "en",
        "value": "The risk that the AI system's outputs lead to physical injury to individuals or damage to property. This includes risks from autonomous vehicles, robotic actuation, faulty navigation guidance, or critical-infrastructure errors that put bodies or property in harm's way. Mitigations may include rigorous safety testing, fail-safe defaults, geofencing of hazardous behavior, and human oversight of high-stakes physical actions."
      }
    ],
    "authoring_guidance": [],
    "examples": [],
    "sources": [],
    "symbol_id": "risks_physical",
    "variables": [
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  {
    "id": "political_economic_harm",
    "category_id": "risks_mitigation",
    "title": [
      {
        "locale": "en",
        "value": "Political & economic harm"
      }
    ],
    "description": [
      {
        "locale": "en",
        "value": "The risk that the AI system manipulates political discourse, interferes with elections, concentrates market power, or damages public institutions. This includes risks of synthetic media targeting voters, opaque ad-targeting, competitive distortion from monopoly access to data and compute, and erosion of institutional trust. Mitigations may include disclosure of synthetic content, antitrust attention to AI markets, audit access for regulators, and political-ad transparency requirements."
      }
    ],
    "authoring_guidance": [],
    "examples": [],
    "sources": [],
    "symbol_id": "risks_political-economic",
    "variables": [
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  },
  {
    "id": "psychological_harm",
    "category_id": "risks_mitigation",
    "title": [
      {
        "locale": "en",
        "value": "Psychological harm"
      }
    ],
    "description": [
      {
        "locale": "en",
        "value": "The risk that the AI system causes emotional or mental-health impairment, directly or indirectly. This includes risks from addictive feedback loops, distress caused by surveillance, harassment via generated content, and anxiety from automated denials. Mitigations may include content warnings, well-being safeguards, age-appropriate design, accessible support channels, and rate limits on engagement-maximizing behavior."
      }
    ],
    "authoring_guidance": [],
    "examples": [],
    "sources": [],
    "symbol_id": "risks_psychological",
    "variables": [
      {
        "id": "mitigation",
        "label": [
          {
            "locale": "en",
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        ],
        "required": true
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    ],
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  },
  {
    "id": "reputational_harm",
    "category_id": "risks_mitigation",
    "title": [
      {
        "locale": "en",
        "value": "Reputational harm"
      }
    ],
    "description": [
      {
        "locale": "en",
        "value": "The risk that the AI system damages the reputation of individuals, groups, or organizations through misidentification, false categorization, or stigmatizing labels. This includes risks of inaccurate face recognition, defamatory generated content, and unfair public scoring that follow people across contexts. Mitigations may include accuracy thresholds before public-facing labels are applied, human review of high-impact identifications, takedown procedures, and clear rights to correction."
      }
    ],
    "authoring_guidance": [],
    "examples": [],
    "sources": [],
    "symbol_id": "risks_reputational",
    "variables": [
      {
        "id": "mitigation",
        "label": [
          {
            "locale": "en",
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        "required": true
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    ],
    "shape": "octagon",
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  },
  {
    "id": "societal_cultural_harm",
    "category_id": "risks_mitigation",
    "title": [
      {
        "locale": "en",
        "value": "Societal & cultural harm"
      }
    ],
    "description": [
      {
        "locale": "en",
        "value": "The risk that the AI system harms communities or culture through erosion of trust, loss of linguistic and cultural diversity, or unhealthy dependency on opaque systems. This includes risks of misinformation at scale, homogenization of cultural expression, replacement of local knowledge, and degradation of public-information ecosystems. Mitigations may include multilingual support, partnerships with affected communities, provenance signals on generated content, and investment in local-language and local-context models."
      }
    ],
    "authoring_guidance": [],
    "examples": [],
    "sources": [],
    "symbol_id": "risks_societal-cultural",
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]