MIT research shows that ChatGPT greatly improves productivity, and teachers are afraid of being affected

CBS News reported on March 8th that artificial intelligence (AI) researchers from Princeton University, Penn University and new york University found that the top five occupations most vulnerable to AI (including unemployment and integrating technology to assist certain job functions) were telephone salesmen, college English language and literature teachers, college foreign language and literature teachers, college history teachers and college law teachers.

In an exclusive interview with CBS MoneyWatch, Manav Raj, an assistant professor in the Department of Management at Wharton Business School of the University of Pennsylvania, said that it is still unclear what new jobs will be created by emerging forms of AI, perhaps automation, or the salaried class will improve their work efficiency by using these technologies.

According to the research report released by three researchers, Ed Felten (Princeton University), Manav Raj (University of Pennsylvania) and Robert Seamans (University of new york) on March 1st, the improvement of language model technology mainly affects legal services, securities, commodities and investment industries.

Nikkei Asia Review reported on the 8th that Akihiko Kawano, chief information officer of Panasonic Connect Co., Ltd, expressed the hope that more employees can quickly get familiar with AI to improve productivity, instead of thinking that AI must be perfect before it can be used.

The Financial Times reported on February 15th that Allen & Overy launched an AI chat robot named Harvey to help its lawyers draft contracts.

OpenAI startup fund announced the first batch of investment list on December 1 last year, and Harvey AI was among them.

According to the working paper published by Shakked Noy and Whitney Zhang, Ph.D. candidates of Massachusetts Institute of Technology (MIT), which has not passed the peer review, ChatGPT can greatly improve the average productivity and job satisfaction. The respondents indicated that they are willing to pay 0.5% salary every month to use this tool.