Implementing SNOOP-AI in CoModIDE

Authors

Alexis Ellis, Wright State University
Brandon Dave, Wright State University
Hugh Salehi, Wright State UniversityFollow
Subhashini Ganapathy, Wright State University - Main CampusFollow
Cogan Shimizu, Wright State University - Main CampusFollow

Document Type

Article

Publication Date

2024

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Abstract

Artificial Intelligence (AI) has surged to the fore-front of many major research interests in many different do-mains. Since research in AI is constantly evolving and is becoming more complex, it can be difficult to understand and explain what many of these systems are doing internally. The push to develop a way to represent, communicate, and explain AI systems is becoming more prevalent as the field continues to expand. This paper builds upon current research with a focus on explainable AI taking from our developed framework of EASY-AI and integrating it into a more applicable way with CoModIDE.

Repository Citation

Ellis, A., Dave, B., Salehi, H., Ganapathy, S., & Shimizu, C. (2024). Implementing SNOOP-AI in CoModIDE. NAECON 2024 - IEEE National Aerospace and Electronics Conference, 101-104.
https://corescholar.libraries.wright.edu/cse/701

DOI

10.1109/NAECON61878.2024.10670635