Login or signup to connect with paper authors and to register for specific Author Connect sessions (if available).
AI and ML in the Workplace: Introducing an AI Elective
Jeremy Shafer, Amy Lavin
The popular and rapidly evolving application of AI has been the subject of a great deal of attention over the last two years. According to a report by investment bank Goldman Sachs, artificial intelligence (AI) could replace the equivalent of 300 million full-time jobs [Goldman Sachs]. The report suggests that AI could replace a quarter of work tasks in the US and Europe, but it may also lead to new jobs and a productivity boom.
Similarly, according to a recent survey by PwC, almost a third of respondents said they were worried about the prospect of their role being replaced by technology in three years [PWC, 2022]. However, a year later the next iteration of that survey found that a majority of the respondents anticipated that AI would have one or more positive impacts on their careers. [PWC, 2023]
Consequently, most educators would agree that the current generation of college graduates should enter the workforce with some readiness to make use of AI concepts, AI applications, and (at the very least) some awareness of how AI promises (or threatens) to influence our near and foreseeable future. This is too large of a topic to ignore.
However, for many educators, it is not immediately clear how AI topics should be integrated into individual courses, degree programs and fields of study. This TREO talk recounts how the Fox School of Business at Temple University introduced its first undergraduate elective in AI as a course offered this past spring. It provides specific details on how the course was presented and framed for the approval of college administrators. Also presented are an overview of the course, its objectives, and its content.
Two important, over-arching elements of the course strategy were to (first) ground students in some established foundational elements of A.I. and (second) to expose students to relatively mundane applications of AI that they are likely to see in their future workplaces. These two elements have the effect of fostering realistic expectations regarding what AI can do and improving students’ ability to make significant contributions in their future workplaces.
Excerpts of student feedback for the course are presented and discussed. Next steps in course / curriculum development are also discussed.
AuthorConnect Sessions
No sessions scheduled yet