Date
Publisher
arXiv
Powerful artificial intelligence (AI) tools that have emerged in recent years
-- including large language models, automated coding assistants, and advanced
image and speech generation technologies -- are the result of monumental human
achievements. These breakthroughs reflect mastery across multiple technical
disciplines and the resolution of significant technological challenges.
However, some of the most profound challenges may still lie ahead. These
challenges are not purely technical but pertain to the fair and responsible use
of AI in ways that genuinely improve the global human condition. This article
explores one promising application aligned with that vision: the use of AI
tools to facilitate and enhance education, with a specific focus on signal
processing (SP). It presents two interrelated perspectives: identifying and
addressing technical limitations, and applying AI tools in practice to improve
educational experiences. Primers are provided on several core technical issues
that arise when using AI in educational settings, including how to ensure
fairness and inclusivity, handle hallucinated outputs, and achieve efficient
use of resources. These and other considerations -- such as transparency,
explainability, and trustworthiness -- are illustrated through the development
of an immersive, structured, and reliable "smart textbook." The article serves
as a resource for researchers and educators seeking to advance AI's role in
engineering education.
What is the application?
Who age?
