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Human-Centered Trustable AI

11/20/2024

Human-Centered Trustable AI Community of Practice

Overview

The Human-Centered Trustable AI Community of Practice brings together researchers from OU Norman, OU HSC, and ORMF with a shared mission to develop reliable, trustable AI systems centered around human involvement in their processes, decisions, and improvements. Our community fosters collaboration across multiple disciplines, including AI and Machine Learning, Visualization and Visual Analytics, Generative AI, Information Science, Data Communication, Social Science, Psychology, and related domain sciences. Together, we aim to advance state-of-the-art techniques, solve computational challenges, and design systems that effectively address human-centered issues in AI. We host formal seminars and organize informal gatherings to showcase ongoing work, promote interdisciplinary collaboration, initiate grant proposals, and engage prospective student researchers, creating a vibrant space for innovation and research excellence.

Vision

The vision of our Human-Centered Trustable AI Community of Practice  is to cultivate a future where AI serves humanity as a reliable and trustworthy partner. We aim to foster AI systems that seamlessly integrate human at the center of decision-making and improvement processes. Through collaboration and innovation, we will promote AI that empowers users, enhances human capabilities, and drives responsible automation.

Our community envisions AI solutions built with transparency, accountability, and fairness, ensuring they remain aligned with societal needs. We advocate for trustable AI by actively involving users throughout the design, development, and deployment phases, fostering systems that are not only automated but also human-centered. Together, we aim to shape a world where human-AI collaboration is harmonious, adaptive, and sustainable for the benefit of individuals and society at large


Dr. Ghulam Jilani Quadri

This Community of Practice is being led by Dr. Ghulam Jilani Quadri. Dr. Ghulam Jilani is an Assistant Professor in the Computer Science department at the Gallogly College of Engineering, University of Oklahoma. Prior to joining OU, he worked as a Postdoctoral Research Associate and CRA/CCC/NSF Computing Innovation Fellow working with Dr. Danielle Albers Szafir in the Department of Computer Science at the University of North Carolina-Chapel Hill. Ghulam received his Ph.D. in Computer Science & Engineering, advised by Dr. Paul Rosen at the University of South Florida in 2021. He holds an M.S. in Computer Science from the University of South Florida and a Bachelor in Computer Engineering from the University of Mumbai. His research interests lie at the intersection of Information Visualization, HCI, ML Models, and perception & cognition. 

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