{"id":9413,"date":"2024-01-22T19:39:51","date_gmt":"2024-01-22T19:39:51","guid":{"rendered":"https:\/\/dailyai.com\/?p=9413"},"modified":"2024-01-22T20:44:04","modified_gmt":"2024-01-22T20:44:04","slug":"the-rise-of-ai-in-the-workplace-insights-from-a-new-mit-study","status":"publish","type":"post","link":"https:\/\/dailyai.com\/ru\/2024\/01\/the-rise-of-ai-in-the-workplace-insights-from-a-new-mit-study\/","title":{"rendered":"\u0412\u043e\u0437\u043d\u0438\u043a\u043d\u043e\u0432\u0435\u043d\u0438\u0435 \u0438\u0441\u043a\u0443\u0441\u0441\u0442\u0432\u0435\u043d\u043d\u043e\u0433\u043e \u0438\u043d\u0442\u0435\u043b\u043b\u0435\u043a\u0442\u0430 \u043d\u0430 \u0440\u0430\u0431\u043e\u0447\u0435\u043c \u043c\u0435\u0441\u0442\u0435: \u0440\u0435\u0437\u0443\u043b\u044c\u0442\u0430\u0442\u044b \u043d\u043e\u0432\u043e\u0433\u043e \u0438\u0441\u0441\u043b\u0435\u0434\u043e\u0432\u0430\u043d\u0438\u044f MIT"},"content":{"rendered":"

Is AI really on the brink of replacing human jobs? If yes, then to what extent?<\/b><\/p>\n

The research, conducted by MIT’s Computer Science and Artificial Intelligence Laboratory, explores the potential of AI to take our jobs, focusing on computer vision (CV), a branch of AI concerned with processing and analyzing visual data.<\/span><\/p>\n

The study assessed AI’s ability to perform tasks and scrutinized the economic feasibility of replacing human labor in various sectors. It\u2019s not undergone peer review yet but is <\/span>available here<\/span><\/a>.<\/span><\/p>\n

A key finding is that while AI is capable of automating tasks that constitute 1.6% of US worker wages (excluding agriculture), it’s only economically viable to replace approximately 23% of these wages with AI. <\/span>This accounts for just 0.4% of the total US economy.<\/span><\/p>\n

So, while AI can replace jobs, it’s not guaranteed to be cheaper or more effective.<\/p>\n

The authors of the study state, \u201cOverall, our findings suggest that AI job displacement will be substantial, but also gradual\u2014and therefore there is room for [government] policy and retraining to mitigate unemployment impacts.\u201d<\/span><\/p>\n

The researchers further project that only 3% of \u201cvision-assisted\u201d tasks can be automated cost-effectively today, but this could rise to 40% by 2030 if data costs decrease and accuracy improves.<\/span><\/p>\n

It highlights areas like retail, transportation, warehousing, and healthcare as sectors where computer vision AI is most economically viable.<\/span><\/p>\n

Several studies into AI job replacements, <\/span>most recently from the IMF<\/span><\/a>, suggested up to some 40% of jobs worldwide could be disrupted.\u00a0<\/span><\/p>\n

Comparing CV AI with language models<\/h2>\n

The MIT research primarily examines computer vision AI and doesn’t uncover insights into more flexible AI systems like OpenAI’s GPT-4.\u00a0<\/span><\/p>\n

While the study estimates a more conservative impact of AI on jobs, <\/span>OpenAI’s research last year<\/span><\/a> suggested a broader influence, with 19% of US workers potentially seeing significant changes in their workplace tasks due to advancements in AI like GPT-4.<\/span><\/p>\n

The cost of customizing AI systems for specific tasks is a significant barrier to job displacement, as noted in the study.\u00a0<\/span><\/p>\n

Customization is economically feasible for large companies but often not for smaller businesses, which might find retaining skilled human workers more cost-effective.<\/span><\/p>\n

\u00a0In contrast, fine-tuning language models like GPT-4 for specific tasks could be simpler and less expensive, indicating a potential for wider adoption in various economic sectors.<\/span><\/p>\n

Neil Thompson, the study\u2019s lead author, <\/span>commented to TIME<\/span><\/a>, \u201cIt is certainly plausible that customizing large language models may be easier than customizing computer vision systems and that this could lead to more adoption in the economy.\u201d\u00a0<\/span><\/p>\n

There is another layer to this, as AI is resource-intensive, too. OpenAI CEO Sam Altman recently said the technology couldn\u2019t easily progress without a \u2018breakthrough\u2019 in energy production.<\/span><\/p>\n","protected":false},"excerpt":{"rendered":"

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