Improving Trustworthiness of Deep Learning Models
Validation techniques and interpretability frameworks for reliable, accountable deep learning.
Improving the trustworthiness of deep learning models requires meticulous validation techniques and robust interpretability frameworks. This project integrates transparency and accountability measures to enhance the reliability and ethical integrity of deep learning models, fostering greater confidence in their deployment across real-world applications.
Institution: Bowie State University · Role: Researcher & PI · Timeline: August 2023 – Present