A need for change
As a data-driven social work professor, I am preparing for the transformative impact that AI technologies will have on our field. While AI won’t replace social workers, it will significantly reshape research, practice, and education.
Princeton University economist Ed Felten and his colleagues developed a unique metric called AI occupational exposure. This measure highlights the impact of AI on specific occupations by connecting ten AI applications (such as reading comprehension, language modeling, and translation) to 52 human abilities (including oral comprehension and inductive reasoning). The team applied this metric to over 800 occupations in the Occupational Information Network Database created by the U.S. Department of Labor to determine the potential influence of large language models on various fields. Felten’s full report is available on arXiv. “Social Work Teachers, Postsecondary” ranked 11th among all…
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https://towardsdatascience.com/large-language-models-expose-additional-flaws-in-the-national-social-work-licensing-exams-d5d2ca426fec?source=rss—-7f60cf5620c9—4
https://towardsdatascience.com/large-language-models-expose-additional-flaws-in-the-national-social-work-licensing-exams-d5d2ca426fec?source=rss—-7f60cf5620c9—4
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