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যুক্তরাষ্ট্র · BLS কর্মসংস্থান প্রক্ষেপণ 2025–35: এই SOC কোডটি প্রকাশিত ভুক্তিগুলির মধ্যে নেই।

AI এক্সপোজার

  • ডেটার উৎস: ILOপ্রকাশকাল: 2025

    0.28

    0.09এখানে থাকা মানগুলোর পরিসর0.70

    পেশা-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 73% এই মানের সমান বা তার বেশি।

    উৎস ডেটাসেট

  • ডেটার উৎস: OpenAIপ্রকাশকাল: 2023

    0.289

    0.000এখানে থাকা মানগুলোর পরিসর0.844
    স্কেল, ভিত্তি ও উৎস

    মানব মূল্যায়নকারীর β, প্রকাশিত রূপে 0–1

    O*NET টাস্কে ম্যাপ করা

    উৎস ডেটাসেট

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.

TaskβE1 + 0.5 × E2
Complete and maintain accurate records or reports regarding the patients' histories and progress, services provided, or other required information.

O*NET Task ID 5584

1.0
Attend training sessions to increase knowledge and skills.

O*NET Task ID 5592

1.0
Develop client treatment plans based on research, clinical experience, and client histories.

O*NET Task ID 5585

0.5
Provide clients or family members with information about addiction issues and about available services or programs, making appropriate referrals when necessary.

O*NET Task ID 5589

0.5
Plan or implement follow-up or aftercare programs for clients to be discharged from treatment programs.

O*NET Task ID 5593

0.5
Follow progress of discharged patients to determine effectiveness of treatments.

O*NET Task ID 5601

0.5
Develop, implement, or evaluate public education, prevention, or health promotion programs, working in collaboration with organizations, institutions, or communities.

O*NET Task ID 5602

0.5
Counsel clients or patients, individually or in group sessions, to assist in overcoming dependencies, adjusting to life, or making changes.

O*NET Task ID 5583

0.0
Review and evaluate clients' progress in relation to measurable goals described in treatment and care plans.

O*NET Task ID 5586

0.0
Interview clients, review records, and confer with other professionals to evaluate individuals' mental and physical condition and to determine their suitability for participation in a specific program.

O*NET Task ID 5587

0.0
Intervene as an advocate for clients or patients to resolve emergency problems in crisis situations.

O*NET Task ID 5588

0.0
Modify treatment plans to comply with changes in client status.

O*NET Task ID 5590

0.0
Coordinate counseling efforts with mental health professionals or other health professionals, such as doctors, nurses, or social workers.

O*NET Task ID 5591

0.0
Conduct chemical dependency program orientation sessions.

O*NET Task ID 5594

0.0
Counsel family members to assist them in understanding, dealing with, and supporting clients or patients.

O*NET Task ID 5595

0.0
Participate in case conferences or staff meetings.

O*NET Task ID 5596

0.0
Act as liaisons between clients and medical staff.

O*NET Task ID 5597

0.0
Coordinate activities with courts, probation officers, community services, or other post-treatment agencies.

O*NET Task ID 5598

0.0
Confer with family members or others close to clients to keep them informed of treatment planning and progress.

O*NET Task ID 5599

0.0
Instruct others in program methods, procedures, or functions.

O*NET Task ID 5600

0.0
Supervise or direct other workers providing services to clients or patients.

O*NET Task ID 5603

0.0
Assess individuals' degree of drug dependency by collecting and analyzing urine samples.

O*NET Task ID 18622

0.0
Train or supervise student interns or new staff members.

O*NET Task ID 18623

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®, Eloundou et al. (2023): see full notices on the Credits page

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মার্চ ২০২৬: New evergreen blog post analyzing AI impact on social workers. Medical social workers: 26% automation risk, 36% exposure.

[সূত্র: AI Changing Work Blog]