Developing a model for AI Across the curriculum

https://doi.org/10.1016/j.caeai.2023.100127

"Higher educational systems in the United States have evolved to prepare students to enter the workforce as a primary mission. As such, colleges and universities continually adapt the curriculum to align with employer needs (Ahmad, 2019; Cantú-Ortiz et al., 2020; St Louis et al., 2021). One need clearly identified globally, and also specifically in the
United States, is for individuals entering the workforce with greater AI knowledge and skills to meet 21st-century challenges (Buckingham Shum & Deakin Crick, 2016; Cantú-Ortiz et al., 2020; Kandlhofer et al.,2016). The NSCAI Report (2021), along with the NASEM report (2018) and the World Economic Forum (2022), all provide a consistent
mandate for modifying university curricula to meet the knowledge and skills workforce needs."
"This includes creating greater opportunities for scientists, engineers, medical professionals, and everyone who deals with data and information to understand the basics of machine learning, deep learning, and the various AI techniques that are impacting our lives. Note, we are not suggesting that every student needs to have a Ph.D. in AI or machine learning. We are, however, suggesting that there is a need for greater education across the spectrum of societal needs (Ng et al., 2021). It is particularly the
responsibility of educators – who are generally reflective practitioners to understand the ramifications of implementing AI in the educational system and to take active steps to prepare students for their roles as stakeholders and citizens in a world defined by the interaction of technologies (Zimmerman, 2018)"