علماء الأوبئة
علوم الحياة والفيزيائية والاجتماعيةالتعرّض للذكاء الاصطناعي
- مصدر البيانات: BLSتاريخ النشر: 2026-08
مرتفع· نسبي
منخفضأربع فئات نسبيةمرتفع جدًاقيمة على مستوى المجموعة المهنية
المقياس والأساس والمصدر
أربع فئات نسبية (منخفض / متوسط / مرتفع / مرتفع جدًا)
831 مهنة تفصيلية في جدول توقعات التوظيف لدى BLS. وتُسند القيمة على مستوى رمز مصفوفة التوظيف الوطنية (NEM)، فالمهن التي تشترك في الرمز نفسه تأخذ النطاق نفسه
- مصدر البيانات: Anthropicتاريخ النشر: 2026-03
0.000
0.000نطاق القيم المعروضة هنا0.745المقياس والأساس والمصدر
- مصدر البيانات: ILOتاريخ النشر: 2025
0.40
0.09نطاق القيم المعروضة هنا0.70قيمة على مستوى المجموعة المهنية
المقياس والأساس والمصدر
مؤشر التعرّض للذكاء الاصطناعي التوليدي، 0–1 كما نُشر
وحدة التصنيف ISCO-08 — تأخذ كل المهن ذات الرمز نفسه هذه القيمة
محسوب من قِبل هذا الموقع وليس منشورًا من منظمة العمل الدولية: من بين 1,012 مهنة يربطها هذا الموقع بمجموعة بيانات المنظمة، تبلغ نسبة التي تساوي هذه القيمة أو تتجاوزها 39%.
ما نوع القيمة التي ينشرها هذا المصدر
فئة BLS رتبة نسبية لا مستوى مطلق، وليست قياسًا مباشرًا: فهي تجمع الرتب المئينية للمهنة في عدة دراسات منشورة في أربع فئات. وهي ليست توقّعًا للتوظيف أو الأجور، ولا احتمالًا للتبني، ولا تفرّق بين الأتمتة والتعزيز.
Task-level exposure
المهام ذات التعرض فقط| Task | Claude.aiRaw / share % |
|---|---|
Consult with and advise physicians, educators, researchers, government health officials and others regarding medical applications of sciences, such as physics, biology, and chemistry.19-1041 | 0.027042.8 |
Teach principles of medicine and medical and laboratory procedures to physicians, residents, students, and technicians.19-1041 | 0.016426.0 |
Standardize drug dosages, methods of immunization, and procedures for manufacture of drugs and medicinal compounds.19-1041 | 0.00639.9 |
Communicate research findings on various types of diseases to health practitioners, policy makers, and the public.19-1041 | 0.00639.9 |
Educate healthcare workers, patients, and the public about infectious and communicable diseases, including disease transmission and prevention.19-1041 | 0.00518.1 |
Provide expertise in the design, management and evaluation of study protocols and health status questionnaires, sample selection and analysis.19-1041 | 0.00213.3 |
| Not observed on any surface — 9 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. | |
Oversee public health programs, including statistical analysis, health care planning, surveillance systems, and public health improvement. | —0 |
Investigate diseases or parasites to determine cause and risk factors, progress, life cycle, or mode of transmission. | —0 |
Plan and direct studies to investigate human or animal disease, preventive methods, and treatments for disease. | —0 |
Plan, administer and evaluate health safety standards and programs to improve public health, conferring with health department, industry personnel, physicians and others. | —0 |
Conduct research to develop methodologies, instrumentation and procedures for medical application, analyzing data and presenting findings. | —0 |
Supervise professional, technical and clerical personnel. | —0 |
Identify and analyze public health issues related to foodborne parasitic diseases and their impact on public policies or scientific studies or surveys. | —0 |
Monitor and report incidents of infectious diseases to local and state health agencies. | —0 |
Prepare and analyze samples to study effects of drugs, gases, pesticides, or microorganisms on cell structure and tissue. | —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 |
|---|---|
Oversee public health programs, including statistical analysis, health care planning, surveillance systems, and public health improvement.O*NET Task ID 5421 | 0.5 |
Investigate diseases or parasites to determine cause and risk factors, progress, life cycle, or mode of transmission.O*NET Task ID 5422 | 0.5 |
Plan and direct studies to investigate human or animal disease, preventive methods, and treatments for disease.O*NET Task ID 5423 | 0.5 |
Plan, administer and evaluate health safety standards and programs to improve public health, conferring with health department, industry personnel, physicians, and others.O*NET Task ID 5424 | 0.5 |
Provide expertise in the design, management and evaluation of study protocols and health status questionnaires, sample selection, and analysis.O*NET Task ID 5425 | 0.5 |
Conduct research to develop methodologies, instrumentation, and procedures for medical application, analyzing data and presenting findings.O*NET Task ID 5426 | 0.5 |
Consult with and advise physicians, educators, researchers, government health officials and others regarding medical applications of sciences, such as physics, biology, and chemistry.O*NET Task ID 5427 | 0.5 |
Identify and analyze public health issues related to foodborne parasitic diseases and their impact on public policies, scientific studies, or surveys.O*NET Task ID 5429 | 0.5 |
Teach principles of medicine and medical and laboratory procedures to physicians, residents, students, and technicians.O*NET Task ID 5430 | 0.5 |
Standardize drug dosages, methods of immunization, and procedures for manufacture of drugs and medicinal compounds.O*NET Task ID 5431 | 0.5 |
Supervise professional, technical, and clerical personnel.O*NET Task ID 5428 | 0.0 |
Prepare and analyze samples to study effects of drugs, gases, pesticides, or microorganisms on cell structure and tissue.O*NET Task ID 5432 | 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