निजी जासूस और अन्वेषक
सुरक्षा सेवाAI एक्सपोजर
- डेटा स्रोत: BLSप्रकाशन: 2026-08
उच्च· सापेक्ष
कमचार सापेक्ष श्रेणियाँबहुत उच्चव्यवसाय-समूह स्तर का मान
मापक्रम, आधार और स्रोत
चार सापेक्ष बैंड (कम / मध्यम / उच्च / बहुत उच्च)
BLS रोज़गार पूर्वानुमान तालिका के 831 विस्तृत व्यवसायों के आधार पर। मान NEM (नेशनल एम्प्लॉयमेंट मैट्रिक्स) कोड के स्तर पर दिया जाता है, इसलिए एक ही NEM कोड वाले व्यवसायों को वही बैंड मिलता है
- डेटा स्रोत: Anthropicप्रकाशन: 2026-03
0.000
0.000यहाँ दिए गए मानों की सीमा0.745मापक्रम, आधार और स्रोत
- डेटा स्रोत: ILOप्रकाशन: 2025
0.39
0.09यहाँ दिए गए मानों की सीमा0.70व्यवसाय-समूह स्तर का मान
मापक्रम, आधार और स्रोत
जेनरेटिव AI एक्सपोजर सूचकांक, प्रकाशित रूप में 0–1
ISCO-08 यूनिट समूह — समान कोड वाले सभी व्यवसायों को यही मान मिलता है
यह इस साइट की गणना है, ILO द्वारा प्रकाशित आँकड़ा नहीं: इस साइट द्वारा ILO डेटासेट से जोड़े गए 1,012 व्यवसायों में से 44% इस मान के बराबर या उससे अधिक हैं।
यह स्रोत किस प्रकार का आँकड़ा प्रकाशित करता है
BLS की श्रेणी सापेक्ष रैंक है, निरपेक्ष स्तर नहीं, और यह प्रथम-हस्त माप भी नहीं है: यह कई प्रकाशित अध्ययनों में व्यवसाय की पर्सेंटाइल रैंकों को चार बैंडों में बांटती है। यह रोज़गार या वेतन का पूर्वानुमान नहीं है, न अपनाए जाने की संभावना, और यह स्वचालन और संवर्धन में अंतर नहीं करती।
Task-level exposure
केवल एक्सपोज़र वाले कार्य| Task | Claude.aiRaw / share % |
|---|---|
Write reports or case summaries to document investigations.33-9021 | 0.006367.8 |
Obtain and analyze information on suspects, crimes, or disturbances to solve cases, to identify criminal activity, or to gather information for court cases.33-9021 | 0.003032.2 |
| Not observed on any surface — 15 task(s) — These tasks have no row in the source for this release. The 0 in the share row is a display-stage composition ratio; absence is what the — in the raw row states. | |
Search computer databases, credit reports, public records, tax or legal filings, or other resources to locate persons or to compile information for investigations. | —0 |
Conduct private investigations on a paid basis. | —0 |
Testify at hearings or court trials to present evidence. | —0 |
Question persons to obtain evidence for cases of divorce, child custody, or missing persons or information about individuals' character or financial status. | —0 |
Observe and document activities of individuals to detect unlawful acts or to obtain evidence for cases, using binoculars and still or video cameras. | —0 |
Expose fraudulent insurance claims or stolen funds. | —0 |
Confer with establishment officials, security departments, police, or postal officials to identify problems, provide information, or receive instructions. | —0 |
Conduct personal background investigations, such as pre-employment checks, to obtain information about an individual's character, financial status, or personal history. | —0 |
Alert appropriate personnel to suspects' locations. | —0 |
Perform undercover operations, such as evaluating the performance or honesty of employees by posing as customers or employees. | —0 |
Investigate companies' financial standings or locate funds stolen by embezzlers, using accounting skills. | —0 |
Apprehend suspects and release them to law enforcement authorities or security personnel. | —0 |
Count cash and review transactions, sales checks, or register tapes to verify amounts or to identify shortages. | —0 |
Warn troublemakers causing problems on establishment premises and eject them from premises when necessary. | —0 |
Monitor industrial or commercial properties to enforce conformance to establishment rules and to protect people or property. | —0 |
Values in this tab are predicted labels, not observations. Eloundou et al. (2023) published two rating regimes — human raters and GPT-4 — and the β shown here is derived from the GPT-4 rater basis alone; the same task can take a different value under the other regime. The unit and the meaning differ from the observed shares (%) in the other tabs, so do not place them on the same axis.
| Task | βE1 + 0.5 × E2 |
|---|---|
Write reports or case summaries to document investigations.O*NET Task ID 13095 | 1.0 |
Search computer databases, credit reports, public records, tax or legal filings, or other resources to locate persons or to compile information for investigations.O*NET Task ID 13096 | 0.5 |
Obtain and analyze information on suspects, crimes, or disturbances to solve cases, to identify criminal activity, or to gather information for court cases.O*NET Task ID 13097 | 0.5 |
Conduct private investigations on a paid basis.O*NET Task ID 13099 | 0.5 |
Question persons to obtain evidence for cases of divorce, child custody, or missing persons or information about individuals' character or financial status.O*NET Task ID 13101 | 0.5 |
Observe and document activities of individuals to detect unlawful acts or to obtain evidence for cases, using binoculars and still or video cameras.O*NET Task ID 13102 | 0.5 |
Alert appropriate personnel to suspects' locations.O*NET Task ID 13103 | 0.5 |
Investigate companies' financial standings, or locate funds stolen by embezzlers, using accounting skills.O*NET Task ID 13105 | 0.5 |
Expose fraudulent insurance claims or stolen funds.O*NET Task ID 13106 | 0.5 |
Count cash and review transactions, sales checks, or register tapes to verify amounts or to identify shortages.O*NET Task ID 13109 | 0.5 |
Testify at hearings or court trials to present evidence.O*NET Task ID 13100 | 0.0 |
Perform undercover operations, such as evaluating the performance or honesty of employees by posing as customers or employees.O*NET Task ID 13104 | 0.0 |
Confer with establishment officials, security departments, police, or postal officials to identify problems, provide information, or receive instructions.O*NET Task ID 13107 | 0.0 |
Apprehend suspects and release them to law enforcement authorities or security personnel.O*NET Task ID 13108 | 0.0 |
Warn troublemakers causing problems on establishment premises and eject them from premises when necessary.O*NET Task ID 13110 | 0.0 |
Monitor industrial or commercial properties to enforce conformance to establishment rules and to protect people or property.O*NET Task ID 13111 | 0.0 |
β = E1 + 0.5 × E2 · E1 = tasks where direct LLM access alone cuts time by at least 50%, E2 = tasks where software built on top of an LLM cuts time by at least 50%. Values take only 0 / 0.5 / 1.0.
Data sources & licenses — O*NET®, Anthropic Economic Index, Eloundou et al. (2023): see full notices on the Credits page