The interplay between AI, machine learning, and cybersecurity will continue to introduce new opportunities and challenges in the security of AI as well as AI for cybersecurity. NSF DCL: Cybersecurity Education in the Age of Artificial Intelligence seeks to fund fund a small number of EAGER grants to encourage advances in cybersecurity education. NSF seeks […]
Data-driven predictive models are increasingly used in education to support students, instructors, and administrators. However, there are concerns about the fairness of the predictions and uses of these algorithmic systems.
Alejandra Magana is a Professor of Computer and Information Technology and Affiliated Faculty of Engineering Education at Purdue University.