{"id":351131,"date":"2023-08-23T18:25:47","date_gmt":"2023-08-23T13:25:47","guid":{"rendered":"https:\/\/leadpakistan.com.pk\/news\/?p=351131"},"modified":"2023-08-23T18:25:47","modified_gmt":"2023-08-23T13:25:47","slug":"generative-ai-likely-to-augment-rather-than-destroy-jobs-un-agency-finds","status":"publish","type":"post","link":"https:\/\/leadpakistan.com.pk\/news\/generative-ai-likely-to-augment-rather-than-destroy-jobs-un-agency-finds\/","title":{"rendered":"Generative AI likely to augment rather than destroy jobs: UN agency finds"},"content":{"rendered":"<p>UNITED NATIONS, Aug 23 : Generative Artificial Intelligence (AI) is more likely to augment than destroy jobs by automating some tasks rather than taking over a role entirely, a new study from the International Labour Organization (ILO), a Geneva-based UN agency, has found. The study provides a global analysis of the potential exposure of occupations and tasks to AI and the possible implications for job quantity and quality. It was written by three social scientists at the UN agency who predict the new technology will likely complement and not destroy jobs by automating some tasks rather than taking over a role entirely. Chat Generative Pre-trained Transformer, or ChatGTP, has been stoking worldwide discussion around the benefits and drawbacks of AI since its launch last November. The chatbot responds to prompts and generates text. Companies and the general public are using it in many ways, including managing workflows, quickly responding to queries, writing code, composing essays, planning vacations and creating personalized content for social media. The ILO report found that clerical work was the job category with the highest exposure to technology. In other occupational groups \u2013 managers, professionals and technicians, for example \u2013 only a small share of tasks was found to be at risk of redundancy. \u201cAs a result, the most important impact of the technology is likely to be of augmenting work \u2013 automating some tasks within an occupation while leaving time for other duties \u2013 as opposed to fully automating occupations,\u201d the authors said. The study documents notable differences in the effects on countries at different levels of development, linked to current economic structures and existing technological gaps. In richer countries, 5.5 per cent of total employment is potentially exposed to the automating effects of Generative AI, whereas the risk is only around 0.4 per cent in low-income countries. The authors said the potential for augmentation is nearly equal across countries, suggesting that with the right policies, Generative AI could offer important benefits for developing nations. However, its potential effects are likely to differ significantly for men and women, as more than twice the share of female employment is potentially affected by automation. This is due to women\u2019s over-representation in clerical work, especially in high and middle-income countries. Additionally, since clerical jobs have traditionally been an important source of women\u2019s employment as economies develop, wider use of Generative AI could mean that certain clerical jobs may never emerge in lower-income countries. In conclusion, the report noted that the socioeconomic impacts of Generative AI will largely depend on how it is adopted and rolled out. \u201cThe main value of studies such as this one is not in the precise estimates, but rather in understanding the possible direction of change,\u201d the authors said. \u201cSuch insights are necessary for proactively designing policies that can support orderly, fair, and consultative transitions, rather than dealing with change in a reactive manner.\u201d They highlighted the need to design policies that support an orderly, fair and consultative transition, stressing that workers\u2019 opinions, skills training and adequate social protection will be key. \u201cWhile the analysis outlines potential implications for different occupational categories, the outcomes of the technological transition are not pre-determined,\u201d they said. \u201cIt is humans that are behind the decision to incorporate such technologies and it is humans that need to guide the transition process.\u201d<\/p>\n","protected":false},"excerpt":{"rendered":"<p>UNITED NATIONS, Aug 23 : Generative Artificial Intelligence (AI) is more likely to augment than destroy jobs by automating some tasks rather than taking over a role entirely, a new study from the International Labour Organization (ILO), a Geneva-based UN agency, has found. The study provides a global analysis of the potential exposure of occupations [&hellip;]<\/p>\n","protected":false},"author":2,"featured_media":207010,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[6],"tags":[12881,7706,85],"class_list":{"0":"post-351131","1":"post","2":"type-post","3":"status-publish","4":"format-standard","5":"has-post-thumbnail","7":"category-world","8":"tag-chatgtp","9":"tag-ilo","10":"tag-united-nations"},"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.4 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Generative AI likely to augment rather than destroy jobs: UN agency finds<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/leadpakistan.com.pk\/news\/generative-ai-likely-to-augment-rather-than-destroy-jobs-un-agency-finds\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Generative AI likely to augment rather than destroy jobs: UN agency finds\" \/>\n<meta property=\"og:description\" content=\"UNITED NATIONS, Aug 23 : Generative Artificial Intelligence (AI) is more likely to augment than destroy jobs by automating some tasks rather than taking over a role entirely, a new study from the International Labour Organization (ILO), a Geneva-based UN agency, has found. 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