The Artificial Intelligence (AI) revolution continues to engage with the engineering and computing education world. A machine learning algorithm, or AI application itself, does not always cater to human ideals or ethical considerations. There is a need to be aware of this lack of contextual knowledge in order to design models accordingly. When considering our modern world and striving for diversity, equity, and inclusion, it is essential to ensure that technology works for all. Even though there is an excitement for the advancement of AI, there is also a need to enhance our understanding and consideration of the ethical implications of AI to inform future generations and future AI technology. The education system has a significant role in molding the minds of future AI pioneers and engineers. Therefore, it is vital to understand the attitudes and beliefs of undergraduate and graduate students who will play a pivotal role in the ethical implications of AI advancements. This work-in-progress paper focuses on a survey analysis to examine engineering and computing students' perspectives on ethics in AI before and after taking a course that includes AI and ethics within the syllabus. The following research questions will guide this study: What are the attitudes of engineering and computing students before and after taking a course that covers AI and ethics? In addition, how do their attitudes vary by demographics such as age, gender, and experience? Our goal is to present our current research and survey instrument to the American Society for Engineering Education (ASEE) audience to receive insight and feedback before finalizing the Institutional Review Board (IRB) and distributing it on the target campus. This work-in-progress closes out with the next steps, future work, implications, and concluding thoughts.
