{
  "docId": "019dd923-5e88-73ef-bd5d-1cf213fe3436",
  "docSlug": "cac156fc34f3ba19",
  "documentTitle": "2024 Executive Perspectives Human Resources",
  "authorId": "BCG",
  "authorName": "BCG",
  "documentKindSlug": "consulting-deck",
  "documentKindLabel": "Consulting deck",
  "sourceTypeSlug": "strategy_consulting",
  "sourceTypeLabel": "Strategy consulting",
  "presentationDate": null,
  "orientation": "landscape",
  "aspectRatio": 1.778,
  "pageNumber": 17,
  "pageCount": 22,
  "prevPage": 16,
  "nextPage": 18,
  "slideType": "timeline",
  "function": "establish_context",
  "density": "balanced",
  "nDataPoints": 0,
  "notes": "The slide highlights the increasing regulatory burden on HR departments regarding GenAI usage in hiring and promotion.",
  "elementsJson": [
    "timeline_visual",
    "bullet_list",
    "callout_box"
  ],
  "metadataConfidence": 1,
  "imagePath": null,
  "slideHref": "/slides/019dd923-5e88-73ef-bd5d-1cf213fe3436/17",
  "deckHref": "/decks/019dd923-5e88-73ef-bd5d-1cf213fe3436",
  "deckJsonHref": "/decks/019dd923-5e88-73ef-bd5d-1cf213fe3436.json",
  "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5d-1cf213fe3436#slide-17",
  "components": [
    {
      "bbox": {
        "h": 0.04,
        "w": 0.13,
        "x": 0.83,
        "y": 0.18
      },
      "kind": "callout",
      "text": "Not exhaustive",
      "attrs": null,
      "subkind": "primary",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "a4e1522a-552d-46db-8ac1-b611ba76b46e",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": null,
      "kind": "callout",
      "text": "Many emerging GenAI regulations explicitly address HR given the high sensitivity around its data and responsibilities.",
      "attrs": null,
      "subkind": null,
      "toolName": "Visual emphasis",
      "toolSlug": "visual-emphasis",
      "confidence": null,
      "componentId": "019dd952-47c7-738e-b70f-e9b3c07ef06e",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.65,
        "w": 0.9,
        "x": 0.05,
        "y": 0.23
      },
      "kind": "diagram",
      "text": "Timeline of regulations from July 2023 to Expected 2024",
      "attrs": null,
      "subkind": "timeline",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "b1e932e6-48db-40c4-a714-9c5c1e380f88",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.06,
        "w": 0.9,
        "x": 0.05,
        "y": 0.91
      },
      "kind": "disclaimer",
      "text": "Disclaimer: For informational purposes only - does not constitute legal advice; 1. In effect as of Jan 1, 2023; 2. Defined as computer-based tools that use AI, machine learning, statistical modeling, or data analytics to help employers make employment decisions; 3. Passed March, 2024, going into effect Summer 2024; 4. Signed May 2024, going into effect February 2026; Source: City of New York; State of Colorado; European Commission; U.S. Congress; BCG analysis",
      "attrs": null,
      "subkind": null,
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "08319384-6622-4f60-ad00-be4e61a47213",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.08,
        "w": 0.9,
        "x": 0.05,
        "y": 0.03
      },
      "kind": "title",
      "text": "Risk and responsible AI | Many emerging GenAI regulations explicitly address HR given the high sensitivity around its data and responsibilities",
      "attrs": null,
      "subkind": "headline",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "53591da1-122f-4620-b2c5-689e70e48f24",
      "frameworkName": null,
      "frameworkSlug": null
    }
  ],
  "metrics": [],
  "tools": [
    {
      "name": "Action Titles",
      "slug": "action-titles",
      "agent": "Architect",
      "layer": "slide",
      "matchId": "019dd95a-1154-7527-a5df-b3cd9e5dfd7f",
      "evidence": "Title: 'Many emerging GenAI regulations explicitly address HR'.",
      "confidence": 85
    },
    {
      "name": "Annotation",
      "slug": "annotation",
      "agent": "Designer",
      "layer": "slide",
      "matchId": "019dd95a-1154-7527-a5df-b822994eab93",
      "evidence": "Footnote annotations explain each cited regulation.",
      "confidence": 70
    },
    {
      "name": "Credibility Transfer",
      "slug": "credibility-transfer",
      "agent": "Storyteller",
      "layer": "slide",
      "matchId": "019dd95a-1154-7527-a5df-bc24e6701990",
      "evidence": "Specific cited statutes (Local Law 144, EU AI Act, CAIA) borrow regulator authority.",
      "confidence": 75
    },
    {
      "name": "Small Multiples",
      "slug": "small-multiples",
      "agent": "Designer",
      "layer": "slide",
      "matchId": "019dd95a-1154-7527-a5df-b7bee26248c6",
      "evidence": "Four parallel jurisdiction columns (NYC / EU / Colorado / 2024).",
      "confidence": 85
    }
  ],
  "frameworks": [
    {
      "name": "Regulatory Landscape Timeline",
      "slug": null,
      "matchId": "019dd95a-1ca5-70bb-bba2-46d925f2846e",
      "evidence": "Four-column timeline matrix by jurisdiction with dates and implications.",
      "confidence": 80
    },
    {
      "name": "timeline",
      "slug": null,
      "matchId": "fcccc0e8-c3c1-4236-bf74-d305fa8835e6",
      "evidence": "The slide uses a chronological arrow to display regulatory milestones.",
      "confidence": 1
    }
  ],
  "arcBeats": [
    {
      "to": 20,
      "from": 12,
      "beatId": "019dd95a-0682-776c-8e38-b0739280d44c",
      "arcName": "The Consultant's Gambit",
      "arcSlug": "consultants-gambit",
      "beatName": "Impact & Next Steps",
      "beatSlug": "consultants-gambit-impact-next-steps",
      "evidence": "Five foundational enablers detailed then 'Three steps for HR to begin the GenAI journey'.",
      "position": 5,
      "confidence": 92,
      "parentBeatName": "Resolution",
      "parentBeatSlug": "resolution"
    },
    {
      "to": 20,
      "from": 12,
      "beatId": "019dd95a-0682-776c-8e38-bf0b6f61dd98",
      "arcName": "The Transformation Tale",
      "arcSlug": "transformation-tale",
      "beatName": "The Bridge",
      "beatSlug": "transformation-tale-the-bridge",
      "evidence": "Foundational enablers + 3-step roadmap connect today to the future state.",
      "position": 3,
      "confidence": 70,
      "parentBeatName": "Resolution",
      "parentBeatSlug": "resolution"
    }
  ],
  "loops": [
    {
      "to": 19,
      "from": 12,
      "name": "Mece Breakdown",
      "slug": "40-mece-breakdown",
      "bestFor": "Problem structuring, ensuring completeness, strategic analysis",
      "matchId": "019dd95a-088b-72c8-b7de-f7aa1cbc9f65",
      "evidence": "p.12 names five MECE enablers (Org/Talent/Data/Risk/Change); p.13-19 give one detail slide per enabler.",
      "position": 3,
      "objective": "Decompose the foundational enablers required to capture GenAI value",
      "structure": "The Whole -> Category A (distinct) -> Category B (distinct) -> Category C (distinct) -> Complete Coverage",
      "confidence": 90,
      "description": "Divide a complex topic into mutually exclusive, collectively exhaustive categories"
    }
  ],
  "imagePathAlt": null,
  "thumbSrc": null,
  "thumbSrcAlt": null,
  "locked": true
}