পরিবহন নিরাপত্তা পরীক্ষক
সুরক্ষা সেবাAI এক্সপোজার
- ডেটার উৎস: BLSপ্রকাশকাল: 2026-08
মাঝারি· আপেক্ষিক
কমচারটি আপেক্ষিক স্তরঅত্যন্ত উচ্চপেশা-গোষ্ঠী পর্যায়ের মান
স্কেল, ভিত্তি ও উৎস
চারটি আপেক্ষিক স্তর (কম / মাঝারি / উচ্চ / অত্যন্ত উচ্চ)
BLS কর্মসংস্থান পূর্বাভাস সারণির 831টি বিস্তারিত পেশার ভিত্তিতে। মান NEM (ন্যাশনাল এমপ্লয়মেন্ট ম্যাট্রিক্স) কোড অনুযায়ী দেওয়া হয়, তাই একই NEM কোডের পেশাগুলি একই ব্যান্ড পায়
- ডেটার উৎস: Anthropicপ্রকাশকাল: 2026-03
0.000
0.000এখানে থাকা মানগুলোর পরিসর0.745স্কেল, ভিত্তি ও উৎস
- ডেটার উৎস: ILOপ্রকাশকাল: 2025
0.20
0.09এখানে থাকা মানগুলোর পরিসর0.70পেশা-গোষ্ঠী পর্যায়ের মান
স্কেল, ভিত্তি ও উৎস
জেনারেটিভ AI এক্সপোজার সূচক, প্রকাশিত রূপে 0–1
ISCO-08 ইউনিট গ্রুপ — একই কোডের সব পেশা এই মানই পায়
এটি এই সাইটের হিসাব, ILO-এর প্রকাশিত সংখ্যা নয়: এই সাইট ILO ডেটাসেটের সঙ্গে যুক্ত করা ১,০১২টি পেশার মধ্যে 86% এই মানের সমান বা তার বেশি।
এই উৎস কী ধরনের মান প্রকাশ করে
BLS-এর শ্রেণিবিভাগ একটি আপেক্ষিক র্যাঙ্ক, পরম মাত্রা নয়, এবং এটি সরাসরি পরিমাপও নয়: এটি কয়েকটি প্রকাশিত গবেষণায় পাওয়া পেশার পার্সেন্টাইল র্যাঙ্কগুলিকে চারটি স্তরে ভাগ করে। এটি কর্মসংস্থান বা মজুরির পূর্বাভাস নয়, গ্রহণের সম্ভাবনাও নয়, এবং এটি স্বয়ংক্রিয়তা ও সম্প্রসারণের মধ্যে পার্থক্য করে না।
Task-level exposure
শুধু এক্সপোজার থাকা কাজ| Task | Claude.aiRaw / share % | APIRaw / share % |
|---|---|---|
Provide directions and respond to passenger inquiries.33-9093 | 0.0049100.0 | 0.002246.7 |
Decide whether baggage that triggers alarms should be searched or should be allowed to pass through. | —0 | 0.002553.3 |
| Not observed on any surface — 24 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. | ||
Ask passengers to remove shoes and divest themselves of metal objects prior to walking through metal detectors. | —0 | —0 |
Check passengers' tickets to ensure that they are valid, and to determine whether passengers have designations that require special handling, such as providing photo identification. | —0 | —0 |
Close entry areas following security breaches or reopen areas after receiving notification that the airport is secure. | —0 | —0 |
Confiscate dangerous items and hazardous materials found in opened bags and turn them over to airlines for disposal. | —0 | —0 |
Contact leads or supervisors to discuss objects of concern that are not on prohibited object lists. | —0 | —0 |
Contact police directly in cases of urgent security issues, using phones or two-way radios. | —0 | —0 |
Direct passengers to areas where they can pick up their baggage after screening is complete. | —0 | —0 |
Inform other screeners when baggage should not be opened because it might contain explosives. | —0 | —0 |
Inform passengers of how to mail prohibited items to themselves, or confiscate these items. | —0 | —0 |
Inspect carry-on items, using x-ray viewing equipment, to determine whether items contain objects that warrant further investigation. | —0 | —0 |
Inspect checked baggage for signs of tampering. | —0 | —0 |
Monitor passenger flow through screening checkpoints to ensure order and efficiency. | —0 | —0 |
Notify supervisors or other appropriate personnel when security breaches occur. | —0 | —0 |
Perform pat-down or hand-held wand searches of passengers who have triggered machine alarms, who are unable to pass through metal detectors, or who have been randomly identified for such searches. | —0 | —0 |
Record information about any baggage that sets off alarms in monitoring equipment. | —0 | —0 |
Search carry-on or checked baggage by hand when it is suspected to contain prohibited items such as weapons. | —0 | —0 |
Send checked baggage through automated screening machines, and set bags aside for searching or rescreening as indicated by equipment. | —0 | —0 |
Test baggage for any explosive materials, using equipment such as explosive detection machines or chemical swab systems. | —0 | —0 |
Watch for potentially dangerous persons whose pictures are posted at checkpoints. | —0 | —0 |
Challenge suspicious people, requesting their badges and asking what their business is in a particular areas. | —0 | —0 |
Follow those who breach security until police or other security personnel arrive to apprehend them. | —0 | —0 |
Patrol work areas to detect any suspicious items. | —0 | —0 |
Locate suspicious bags pictured in printouts sent from remote monitoring areas, and set these bags aside for inspection. | —0 | —0 |
View images of checked bags and cargo, using remote screening equipment, and alert baggage screeners or handlers to any possible problems. | —0 | —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 |
|---|---|
Check passengers' tickets to ensure that they are valid, and to determine whether passengers have designations that require special handling, such as providing photo identification.O*NET Task ID 15332 | 0.5 |
Contact leads or supervisors to discuss objects of concern that are not on prohibited object lists.O*NET Task ID 15335 | 0.5 |
Decide whether baggage that triggers alarms should be searched or should be allowed to pass through.O*NET Task ID 15337 | 0.5 |
Inform other screeners when baggage should not be opened because it might contain explosives.O*NET Task ID 15339 | 0.5 |
Inspect carry-on items, using x-ray viewing equipment, to determine whether items contain objects that warrant further investigation.O*NET Task ID 15341 | 0.5 |
Inspect checked baggage for signs of tampering.O*NET Task ID 15342 | 0.5 |
Locate suspicious bags pictured in printouts sent from remote monitoring areas, and set these bags aside for inspection.O*NET Task ID 15343 | 0.5 |
Monitor passenger flow through screening checkpoints to ensure order and efficiency.O*NET Task ID 15344 | 0.5 |
Record information about any baggage that sets off alarms in monitoring equipment.O*NET Task ID 15347 | 0.5 |
Test baggage for any explosive materials, using equipment such as explosive detection machines or chemical swab systems.O*NET Task ID 15350 | 0.5 |
Ask passengers to remove shoes and divest themselves of metal objects prior to walking through metal detectors.O*NET Task ID 15331 | 0.0 |
Close entry areas following security breaches or reopen areas after receiving notification that the airport is secure.O*NET Task ID 15333 | 0.0 |
Confiscate dangerous items and hazardous materials found in opened bags and turn them over to airlines for disposal.O*NET Task ID 15334 | 0.0 |
Contact police directly in cases of urgent security issues, using phones or two-way radios.O*NET Task ID 15336 | 0.0 |
Direct passengers to areas where they can pick up their baggage after screening is complete.O*NET Task ID 15338 | 0.0 |
Inform passengers of how to mail prohibited items to themselves, or confiscate these items.O*NET Task ID 15340 | 0.0 |
Notify supervisors or other appropriate personnel when security breaches occur.O*NET Task ID 15345 | 0.0 |
Perform pat-down or hand-held wand searches of passengers who have triggered machine alarms, who are unable to pass through metal detectors, or who have been randomly identified for such searches.O*NET Task ID 15346 | 0.0 |
Search carry-on or checked baggage by hand when it is suspected to contain prohibited items such as weapons.O*NET Task ID 15348 | 0.0 |
Send checked baggage through automated screening machines, and set bags aside for searching or rescreening as indicated by equipment.O*NET Task ID 15349 | 0.0 |
Challenge suspicious people, requesting their badges and asking what their business is in a particular areas.O*NET Task ID 15353 | 0.0 |
Follow those who breach security until police or other security personnel arrive to apprehend them.O*NET Task ID 15354 | 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