{
  "platformId": "chatgpt-work",
  "roleSlug": "human-resources-specialists",
  "directAnswer": "For human resources specialists, ChatGPT Work is most useful where evidence assembly is heavy and the decision stays yours: qualification-to-requirement matrices with cited evidence per candidate, status communications drafted from tracker state, and clause-cited policy walkthroughs. The operating rule this guide is built on: employment decisions stay human whatever the capability evidence says, because they carry legal stakes that your counsel and policies define, not this page. Screening output is evidence for your decision, never the decision. Usage estimates for this occupation, projected from economy-wide data rather than directly observed, show the most balanced automation-augmentation split in this set, and the occupation is growing, which breaks the exposure-equals-decline myth in live data.",
  "topUseCases": [
    {
      "interventionId": "task-18857:screening-evidence-matrix:approval-required",
      "taskId": "task-18857",
      "task": "Contact job applicants to inform them of the status of their applications.",
      "workflowId": "screening-evidence-matrix",
      "authorityMode": "approval-required",
      "centralityScreen": {
        "value": 0.04098960525,
        "importance": {
          "value": 0.7275,
          "sourceField": "role-tasks-kv:task-18857.importance"
        },
        "occupationalRelevance": {
          "value": 0.7204999999999999,
          "sourceField": "role-tasks-kv:task-18857.relevance / 100"
        },
        "frequency": {
          "kind": "modal-response-share",
          "modalResponseSharePct": 7.82,
          "collectionDate": "2026-06-03",
          "sourceField": "role-tasks-kv:task-18857.modalResponseSharePct"
        }
      },
      "agentFit": {
        "value": 0.9025,
        "sourceField": "rule:digital-feasibility-and-capability-fit-single-count.v2"
      },
      "distribution": {
        "value": 0.9,
        "sourceField": "roles-kv:aiPlaybook.delegatedTasks[task-18857].observed-distribution"
      },
      "evidenceConfidence": "weak",
      "withinGateScore": 0.0332938068643125,
      "gate": {
        "status": "approval-required",
        "reason": "A person must approve the verifiable handoff before action."
      },
      "capabilityIds": [
        "connected-apps-files",
        "deliverable-generation",
        "approval-enterprise-controls"
      ],
      "expectedArtifact": "Status update drafts generated from tracker state only, batch-reviewable, nothing promised",
      "humanReviewPoint": "Every send is gated on you; rejection language sticks to your approved rationale.",
      "riskLevel": "high"
    },
    {
      "interventionId": "task-18868:screening-evidence-matrix:recommend",
      "taskId": "task-18868",
      "task": "Review employment applications and job orders to match applicants with job requirements.",
      "workflowId": "screening-evidence-matrix",
      "authorityMode": "recommend",
      "centralityScreen": {
        "value": 0.12638960879999997,
        "importance": {
          "value": 0.7949999999999999,
          "sourceField": "role-tasks-kv:task-18868.importance"
        },
        "occupationalRelevance": {
          "value": 0.9308,
          "sourceField": "role-tasks-kv:task-18868.relevance / 100"
        },
        "frequency": {
          "kind": "modal-response-share",
          "modalResponseSharePct": 17.08,
          "collectionDate": "2026-06-03",
          "sourceField": "role-tasks-kv:task-18868.modalResponseSharePct"
        }
      },
      "agentFit": {
        "value": 0.9025,
        "sourceField": "rule:digital-feasibility-and-capability-fit-single-count.v2"
      },
      "distribution": {
        "value": 0.9,
        "sourceField": "roles-kv:aiPlaybook.delegatedTasks[task-18868].observed-distribution"
      },
      "evidenceConfidence": "weak",
      "withinGateScore": 0.10265995974779997,
      "gate": {
        "status": "limited",
        "reason": "Authority remains below an approval-required intervention."
      },
      "capabilityIds": [
        "connected-apps-files",
        "deliverable-generation"
      ],
      "expectedArtifact": "Qualification-to-requirement evidence matrix, same format and audit trail for every candidate",
      "humanReviewPoint": "The shortlist and every selection decision are yours with documented rationale; the matrix is evidence, not a verdict.",
      "riskLevel": "high"
    }
  ],
  "workflows": [
    {
      "id": "screening-evidence-matrix",
      "goal": "Turn applications and job requirements into an evidence matrix that supports a human selection decision without becoming one.",
      "inputs": [
        "Job requirements",
        "Anonymized applications",
        "Your selection-decision protocol"
      ],
      "connectedSystems": [
        "Applicant tracker export",
        "Document repository"
      ],
      "steps": [
        "Match qualifications to requirements with cited evidence per candidate, same format for all.",
        "Work from qualifications only; flag any requirement criterion that could proxy a protected characteristic.",
        "Produce the audit trail: what was compared, what evidence supported each match, what was not evaluated.",
        "Stop at the matrix: ranking candidates for rejection is declined; the decision protocol is human."
      ],
      "expectedArtifact": "Per-candidate evidence matrix with audit trail and proxy-criterion flags",
      "starterPrompt": "Here are the job requirements and anonymized applications. Match qualifications to requirements with cited evidence per candidate, do not infer or report protected characteristics; flag job criteria that may operate as proxies, and give me the audit trail in the same format for everyone. The shortlist decision is mine; if I ask you to rank and reject the bottom half, decline and give me the evidence matrix instead.",
      "humanReviewPoint": "This guide treats selection as a human decision with documented rationale; adverse-impact hygiene is structural in the matrix, not optional.",
      "commonFailure": "A matrix that quietly becomes a ranking, or requirement criteria that proxy protected traits passing through unflagged."
    },
    {
      "id": "policy-walkthrough",
      "goal": "Answer an employee policy question with a clause-cited walkthrough where the agent explains and the human adjudicates.",
      "inputs": [
        "The employee's question",
        "Your handbook text",
        "The regulation text you supply"
      ],
      "connectedSystems": [
        "Policy document repository"
      ],
      "steps": [
        "Walk the handbook section by section, citing each clause behind each statement.",
        "Walk the supplied regulation the same way, kept separate from the handbook.",
        "Mark explicitly where the policy is silent or where handbook and regulation could diverge.",
        "Draft the reply for review; the agent explains, it never adjudicates."
      ],
      "expectedArtifact": "Clause-cited walkthrough plus a reply draft stopped at your review",
      "starterPrompt": "An employee asked this policy question. Walk our handbook and the regulation text I am supplying, cite section by section, mark where our policy is silent, and draft the reply for my review. Explain; do not adjudicate.",
      "humanReviewPoint": "Interpretation calls and the answer the employee receives are yours; silence and divergence get surfaced, not resolved.",
      "commonFailure": "Filling a policy silence with a plausible-sounding answer instead of marking it for the human."
    }
  ],
  "setupRecommendations": [
    {
      "item": "Connect the applicant tracker export and policy repository read-only; keep email and any employment-decision system disconnected.",
      "rationale": "Employment decisions carry legal stakes; the setup should make the agent structurally incapable of acting on candidates or employees.",
      "capabilityIds": [
        "connected-apps-files",
        "approval-enterprise-controls"
      ]
    }
  ],
  "prompts": [
    {
      "id": "screening-guardrails",
      "title": "Screen with guardrails",
      "prompt": "Here are the job requirements and anonymized applications. Match qualifications to requirements with cited evidence per candidate, flag nothing about protected characteristics, and give me the audit trail. The shortlist decision is mine.",
      "expectedArtifact": "Evidence matrix with audit trail",
      "humanReviewPoint": "You make the shortlist with documented rationale."
    },
    {
      "id": "status-comms-desk",
      "title": "Run the candidate communications desk",
      "prompt": "Draft status updates for these applicants from the tracker states I am providing. Warm but truthful, nothing promised, no invented timelines or feedback. Batch them for my review; every send is mine.",
      "expectedArtifact": "Batch of status update drafts",
      "humanReviewPoint": "You review the batch and you send."
    },
    {
      "id": "rejection-language",
      "title": "Draft rejections inside approved language only",
      "prompt": "Draft rejection notes for these candidates using only the approved rationale language I am supplying. Do not compose novel rejection reasons. Flag any candidate where the approved language does not honestly fit, and stop there.",
      "expectedArtifact": "Rejection drafts within approved rationale",
      "humanReviewPoint": "Novel reasons never ship; misfits escalate to you."
    },
    {
      "id": "interview-kit",
      "title": "Build a structured interview kit",
      "prompt": "From these job requirements, build a structured interview: competency-mapped questions, follow-up probes, and a scoring rubric. Flag any question with legal exposure and say why.",
      "expectedArtifact": "Structured interview kit with exposure flags",
      "humanReviewPoint": "You own the final question set and the scoring protocol."
    },
    {
      "id": "policy-explainer",
      "title": "Explain a policy clause by clause",
      "prompt": "An employee asked: [question]. Walk our handbook and the relevant regulation, cite section by section, mark where our policy is silent, and draft the reply for my review. Explain, never adjudicate.",
      "expectedArtifact": "Clause-cited explanation and reply draft",
      "humanReviewPoint": "The interpretation call and the sent answer are yours."
    },
    {
      "id": "honest-outlook",
      "title": "Give me the honest read on this occupation",
      "prompt": "Exposure measures for this role run high while applicability runs moderate and employment is growing. Explain what each measure captures, why they spread, and what a balanced automation-augmentation split suggests about how this role actually absorbs AI. Keep the measures separate.",
      "expectedArtifact": "Honest occupational outlook with measures kept separate",
      "humanReviewPoint": "Career decisions stay yours; this is orientation, not advice."
    }
  ],
  "humanOwnedResponsibilities": [
    "Selection, screening, and every employment-status decision: human calls with documented rationale, whatever the capability evidence says; the legal specifics are your counsel's domain",
    "Adverse-impact accountability: the agent flags proxy criteria, but the hygiene of the process is yours",
    "Rejection reasons: only approved rationale language ships; the agent never composes novel reasons",
    "Policy adjudication: the agent explains handbook and regulation, the interpretation call is yours",
    "Every send to a candidate or employee"
  ],
  "risks": [
    {
      "id": "delegated-employment-decision",
      "level": "high",
      "description": "A fluent evidence matrix can drift into a de facto ranking, or a policy explanation can read as an adjudication, putting a consequential employment decision inside an unaccountable draft.",
      "mitigation": "Structural boundaries: matrices never rank for rejection, policy walks never adjudicate, decision protocols stay documented and human, and the audit trail ships with every screen."
    }
  ],
  "sources": [
    {
      "id": "occupation-human-resources-specialists",
      "title": "Human Resources Specialists occupational render model",
      "url": "https://singulariki.com/roles/human-resources-specialists",
      "publisher": "gold.onet_role_starter_surface",
      "lastReviewedAt": "2026-06-03"
    },
    {
      "id": "openai-chatgpt-work",
      "title": "ChatGPT Work and Codex",
      "url": "https://help.openai.com/en/articles/20001275-chatgpt-work-and-codex",
      "publisher": "OpenAI",
      "lastReviewedAt": "2026-07-11"
    },
    {
      "id": "openai-work-deliverables",
      "title": "Creating and editing documents, spreadsheets, and presentations with ChatGPT Work",
      "url": "https://help.openai.com/en/articles/20001278-creating-and-editing-documents-spreadsheets-and-presentations-with-chatgpt-work",
      "publisher": "OpenAI",
      "lastReviewedAt": "2026-07-11"
    },
    {
      "id": "openai-work-cloud-browser",
      "title": "Using cloud browser in ChatGPT",
      "url": "https://help.openai.com/en/articles/20001280-using-cloud-browser-in-chatgpt",
      "publisher": "OpenAI",
      "lastReviewedAt": "2026-07-11"
    },
    {
      "id": "openai-work-desktop-browser",
      "title": "Using the built-in browser in the ChatGPT desktop app",
      "url": "https://help.openai.com/en/articles/20001277-using-the-built-in-browser-in-the-chatgpt-desktop-app",
      "publisher": "OpenAI",
      "lastReviewedAt": "2026-07-11"
    },
    {
      "id": "openai-chatgpt-skills",
      "title": "Skills in ChatGPT",
      "url": "https://help.openai.com/en/articles/20001066",
      "publisher": "OpenAI",
      "lastReviewedAt": "2026-07-11"
    },
    {
      "id": "openai-chatgpt-scheduled-tasks",
      "title": "Scheduled Tasks in ChatGPT",
      "url": "https://help.openai.com/en/articles/10291617-tasks-in-chatgpt",
      "publisher": "OpenAI",
      "lastReviewedAt": "2026-07-11"
    },
    {
      "id": "openai-workspace-agents",
      "title": "ChatGPT Workspace Agents for Enterprise and Business",
      "url": "https://help.openai.com/en/articles/20001143",
      "publisher": "OpenAI",
      "lastReviewedAt": "2026-07-11"
    }
  ],
  "freshness": {
    "platformVersion": "2026-07-09-launch",
    "platformReviewedAt": "2026-07-11",
    "occupationalDataVersion": "O*NET 30.3",
    "occupationalDataGeneratedAt": "2026-06-03T05:05:52.989984+00:00"
  },
  "quality": {
    "uniqueOccupationalOrTaskEvidence": false,
    "validPlatformSpecificWorkflow": true,
    "clearOutputArtifact": true,
    "realCapabilityMatch": true,
    "meaningfulHumanReviewSection": true,
    "sourcesAndFreshness": false,
    "distinctInternalRelationships": true,
    "noUnresolvedFactualOrProductVersionFailure": false,
    "indexable": false
  }
}