# Artificial Intelligence in Everyday Life 2.0: Educating University Students from Different Majors

arXiv: https://arxiv.org/abs/2406.11865 · HTML: https://mlsanity.com/paper/2406.11865/

## Key facts

- Cited by 1 papers in the map (data through 14 Oct 2026).
- Builds on 2 of its 26 references that are in the map.
- First posted on arXiv 12 Apr 2024.

## Builds on (most cited first, 2 of 2)

- [Exciting, Useful, Worrying, Futuristic: Public Perception of Artificial Intelligence in 8 Countries](https://mlsanity.com/paper/2001.00081/) (2019)
- [Engaging Teachers to Co-Design Integrated AI Curriculum for K-12 Classrooms](https://mlsanity.com/paper/2009.11100/) (2020)

## Built on by (most cited first, 1 of 1)

- [Practical Application and Limitations of AI Certification Catalogues in the Light of the AI Act](https://mlsanity.com/paper/2502.10398/) (2025)

## Abstract (arXiv)

With the surge in data-centric AI and its increasing capabilities, AI applications have become a part of our everyday lives. However, misunderstandings regarding their capabilities, limitations, and associated advantages and disadvantages are widespread. Consequently, in the university setting, there is a crucial need to educate not only computer science majors but also students from various disciplines about AI. In this experience report, we present an overview of an introductory course that we offered to students coming from different majors. Moreover, we discuss the assignments and quizzes of the course, which provided students with a firsthand experience of AI processes and insights into their learning patterns. Additionally, we provide a summary of the course evaluation, as well as students' performance. Finally, we present insights gained from teaching this course and elaborate on our future plans.