{
  "docId": "019dd923-5e88-73ef-bd5d-06b04d219fea",
  "docSlug": "dd91c78f6570bf29",
  "documentTitle": "2023 Air Street Capital The State of AI Report 2023",
  "authorId": "AirStreetCapital",
  "authorName": "Air Street Capital",
  "documentKindSlug": "consulting-deck",
  "documentKindLabel": "Consulting deck",
  "sourceTypeSlug": "vc_research",
  "sourceTypeLabel": "VC research",
  "presentationDate": null,
  "orientation": "landscape",
  "aspectRatio": 1.777,
  "pageNumber": 139,
  "pageCount": 163,
  "prevPage": 138,
  "nextPage": 140,
  "slideType": "other",
  "function": "present_framework",
  "density": "balanced",
  "nDataPoints": 0,
  "notes": "The slide presents a framework for categorizing AI risks as proposed by Dan Hendrycks (Center for AI Safety).",
  "elementsJson": [
    "headline_text",
    "paragraph",
    "icon_grid"
  ],
  "metadataConfidence": 1,
  "imagePath": null,
  "slideHref": "/slides/019dd923-5e88-73ef-bd5d-06b04d219fea/139",
  "deckHref": "/decks/019dd923-5e88-73ef-bd5d-06b04d219fea",
  "deckJsonHref": "/decks/019dd923-5e88-73ef-bd5d-06b04d219fea.json",
  "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5d-06b04d219fea#slide-139",
  "components": [
    {
      "bbox": null,
      "kind": "callout",
      "text": "Before we dive into discussing AI risk news and debates, let's keep in mind what (some) AI safety researchers consider to be catastrophic AI risks.",
      "attrs": null,
      "subkind": null,
      "toolName": "Visual emphasis",
      "toolSlug": "visual-emphasis",
      "confidence": null,
      "componentId": "019dd952-47c4-7719-a22f-4a931cfbf97a",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.45,
        "w": 0.9,
        "x": 0.05,
        "y": 0.45
      },
      "kind": "image",
      "text": "Taxonomy diagram with four categories: Malicious Use, AI Race, Organizational Risks, Rogue AIs",
      "attrs": null,
      "subkind": "infographic",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "42be7f5a-05bf-4c89-86c6-0ea8e346ef1c",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.18,
        "w": 0.96,
        "x": 0.02,
        "y": 0.21
      },
      "kind": "paragraph",
      "text": "Before we dive into discussing AI risk news and debates, let's keep in mind what (some) AI safety researchers consider to be catastrophic AI risks. As with all of this section, these should be taken with a grain of salt. Like any domain involving forecasts, and especially so with data-dependent (almost) black-box systems, there is no consensus about the actual risks that AI systems pose on a reasonable time horizon. The figure below is taken from An Overview of Catastrophic AI Risks, by Dan Hendrycks (Center for AI Safety).",
      "attrs": null,
      "subkind": "paragraph",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "3687f8d9-7717-4740-b96b-76130e79346a",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.04,
        "w": 0.35,
        "x": 0.02,
        "y": 0.14
      },
      "kind": "title",
      "text": "Quick taxonomy of catastrophic AI risk",
      "attrs": null,
      "subkind": "headline",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "5f26f9c7-cd14-401d-bd64-055892dab369",
      "frameworkName": null,
      "frameworkSlug": null
    }
  ],
  "metrics": [],
  "tools": [
    {
      "name": "Chunking",
      "slug": "chunking",
      "agent": "Architect",
      "layer": "loop",
      "matchId": "019dd95a-1055-74e0-a957-f55718584ae4",
      "evidence": "Chunks risk into 4 distinct categories for digestion.",
      "confidence": 70
    },
    {
      "name": "2x2 matrix",
      "slug": "matrix-2x2",
      "agent": null,
      "layer": "slide",
      "matchId": "54adb927-18d5-4d9f-9902-ac9312baf511",
      "evidence": "Taxonomy diagram with four categories: Malicious Use, AI Race, Organizational Risks, Rogue AIs",
      "confidence": 0.8
    },
    {
      "name": "Authority Bias",
      "slug": "authority-bias",
      "agent": "Storyteller",
      "layer": "slide",
      "matchId": "019dd95a-1055-74e0-a957-f14a6e3cfbab",
      "evidence": "Callout cites Dan Hendrycks, Center for AI Safety as source.",
      "confidence": 80
    },
    {
      "name": "Color Strategy",
      "slug": "color-strategy",
      "agent": "Designer",
      "layer": "slide",
      "matchId": "019dd95a-1055-74e0-a957-ec7da2223d4c",
      "evidence": "Red X / green check encode risks vs mitigations per pillar.",
      "confidence": 82
    },
    {
      "name": "Picture Superiority Effect",
      "slug": "picture-superiority-effect",
      "agent": "Designer",
      "layer": "slide",
      "matchId": "019dd95a-1055-74e0-a957-e905875404b8",
      "evidence": "Distinct illustrations per pillar (hacker, robots, building, globe).",
      "confidence": 78
    },
    {
      "name": "Visual Hierarchy",
      "slug": "visual-hierarchy",
      "agent": "Designer",
      "layer": "slide",
      "matchId": "019dd95a-1055-74e0-a957-e4f609f3cfe4",
      "evidence": "Four named pillars with icons and red/green sublists structure the taxonomy.",
      "confidence": 80
    }
  ],
  "frameworks": [
    {
      "name": "Hendrycks Catastrophic AI Risks Taxonomy",
      "slug": null,
      "matchId": "019dd95a-1ca5-70bb-bba0-a264483e260a",
      "evidence": "Slide names the four pillars and credits Hendrycks (CAIS).",
      "confidence": 88
    },
    {
      "name": "Taxonomy of Catastrophic AI Risks",
      "slug": null,
      "matchId": "79d8dadc-b121-4370-862a-dcf7c158303b",
      "evidence": "Categorization of AI risks into four distinct pillars with sub-factors.",
      "confidence": 0.9
    }
  ],
  "arcBeats": [
    {
      "to": 155,
      "from": 121,
      "beatId": "019dd95a-0682-776c-8e35-478c8c58938c",
      "arcName": "The Triple Take",
      "arcSlug": "triple-take",
      "beatName": "The Implications (So What)",
      "beatSlug": "triple-take-the-implications-so-what",
      "evidence": "Politics + Safety sections explore regulatory, geopolitical and risk implications.",
      "position": 2,
      "confidence": 78,
      "parentBeatName": "Reflection",
      "parentBeatSlug": "reflection"
    },
    {
      "to": 155,
      "from": 121,
      "beatId": "019dd95a-0682-776c-8e35-554ec1797b3a",
      "arcName": "The Mountain",
      "arcSlug": "mountain",
      "beatName": "Climax",
      "beatSlug": "mountain-climax",
      "evidence": "Regulatory divergence and the x-risk debate erupt into the mainstream.",
      "position": 3,
      "confidence": 45,
      "parentBeatName": "Turn",
      "parentBeatSlug": "turn"
    }
  ],
  "loops": [
    {
      "to": 148,
      "from": 139,
      "name": "Pattern Hunter",
      "slug": "02-pattern-hunter",
      "bestFor": "Time-pressed audiences, building consensus, when data is strong",
      "matchId": "019dd95a-07fe-70ce-8d3e-17c0a044d464",
      "evidence": "Hendrycks taxonomy, x-risk explosion, sceptics, govt attention, jailbreak evidence accumulate.",
      "position": 14,
      "objective": "Frame the safety debate, both x-risk and demonstrated unsafe behaviour",
      "structure": "Evidence A -> Evidence B -> Evidence C -> Pattern/Conclusion",
      "confidence": 78,
      "description": "Group multiple pieces of evidence that together point to a pattern or conclusion"
    }
  ],
  "imagePathAlt": null,
  "thumbSrc": null,
  "thumbSrcAlt": null,
  "locked": true
}