Generated AI ‘productivity’ proven by experiments… Reduced work hours and raised grades


Comparison of labor time and grade between using and never using ChatGPT conducted by MIT (Photo = MIT)

Productivity proof research results that generative artificial intelligence (AI) reduces the quantity of labor and increases the standard have appeared one after one other.

The Wall Street Journal (WSJ) introduced research results from the Massachusetts Institute of Technology (MIT), Microsoft (MS), Goldman Sachs, etc., and introduced examples of reducing work time and achieving excellent results using generative AI on the sixth (local time). did.

In accordance with this, MIT’s paper, ‘Experimental Evidence for the Productivity Effect of Generated AI’ published on the 2nd, proved that using ChatGPT can shorten work hours and achieve excellent results.

MIT researchers compared the cases of writing short reports, e-mails, press releases, etc. using ChatGPT to 444 people, including writers, data analysts, and human resources experts, and cases where they didn’t.

In consequence, those that used ChatGPT reduced their work time by 37% on average, or about 10 minutes, in comparison with those that didn’t. It also received higher rankings for its content.

Within the case of programming, the difference was even greater. In one other experiment conducted by Microsoft researcher Sida Pang and three co-authors, programmers cut the time required to program Web servers by greater than half when using ChatGPT-based tools.

Goldman Sachs economists also concluded in a recent report that generative AI could increase labor productivity by 1.5% per 12 months, effectively doubling the present rate.

However, the researchers identified that higher productivity implies that some employees or forms of work aren’t any longer needed.

Specifically, researchers from OpenAI and the University of Pennsylvania reported that journalists, interpreters, mathematicians, and web designers were most certainly to lose their jobs as a consequence of generative AI, while mechanics and cooks were cited as jobs that had no impact in any respect.

In response, the WSJ said, historically, concerns about automation replacing labor were unfounded, however the impact of generative AI on highly educated professions, equivalent to this study’s findings, seems inevitable.

As well as, because the research team didn’t consider ‘AI’s inaccuracy’ in any respect, it was identified that it stays to be seen whether AI will actually destroy skilled jobs.

Reporter Juyoung Lee


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