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1、Generative AI and Generative AI and jobs:jobs:A global analysis of A global analysis of potential effects on job potential effects on job quantity and qualityquantity and qualityNOVEMBER 20-21,2024Janine BergSenior Economist,Research DepartmentInternational Labour OrganizationExposure Impact2Methodo
2、logy4ISCO-08 1-digit codeISCO-08 1-digit full labelNr of distinct 1-digit codesNr of distinct 2-digit codesNr of distinct 3-digit codesNr of distinct 4-digit codesTotal ISCO tasksTotal GPT tasks0Armed forces occupations13330301Managers1411312363102Professionals1627927519203Technicians and associate
3、professionals1520845808404Clerical support workers148291632905Service and sales workers1413402694006Skilled agricultural,forestry and fishery workers139181411807Craft and related trades workers1514665036608Plant and machine operators,and assemblers1314402804009Elementary occupations161133200330Total
4、10431304363,1234,360ISCOISCO-0808 StructureStructure ofof occupationsoccupations andand taskstasks usedused in in thethe studystudy5Python API request(GPT-4):Task-level predictions6Task-level scoring7“role”:“system”,“content”:“You are a skills and AI specialist.”+“You will provide a score of potenti
5、al automation with GPT technology for a given task.Follow instructions closely.”,“role”:“user”,“content”:“Look at this job task:”+str(Tasks_GPT)+“It is related to ISCO code:”+str(ISCO_08)+“Provide a score of potential automation of this task with GPT technology,given that the job is located in a hig
6、hlow income country:”+“The score should range 0-1.Provide a score in one line,and a justification in next line.Do not provide any other commentary,only the score and justification.”+“Do not give any ranges just one score for each task.”Python API request(GPT-4):8Source:Gmyrek et al.,2023.TaskTask-le