Democratization of Responsible Artificial Intelligence
Artificial intelligence (AI) is driving discovery, innovation, and economic growth, and has the potential to transform science and society. However, realizing this positive and transformative potential of AI requires that AI research and development (R&D) progresses responsibly, i.e., in a way that protects privacy, civil rights, and civil liberties, and promotes principles of fairness, accountability, transparency, and equity. In this talk, I will explore the importance of democratizing AI R&D for achieving the goal of responsible AI and the resulting imperative of democratizing access to advanced cyberinfrastructure. I will then discuss recent efforts in government and academia aimed at achieving these goals. Finally, it introduces the Responsible AI Initiative at the University of Utah.
Manish Parashar
Manish Parashar is Director of the Scientific Computing and Imaging (SCI) Institute, Chair in Computational Science and Engineering, and Presidential Professor, Kalhert School of Computing at the University of Utah. He recently completed an IPA appointment at the National Science Foundation as Office Director of the NSF Office of Advanced Cyberinfrastructure where he oversaw investments in national cyberinfrastructure. He also served as co-chair of the National Science and Technology Council's Subcommittee on the Future Advanced Computing Ecosystem and the National Artificial Intelligence Research Resource Taskforce.
Manish's expertise is in high performance parallel and distributed computing and cyberinfrastructure, and he has made pioneering contributions towards enabling new insights through large-scale computations and data in a range of science and engineering domains.
Manish has received a number of awards for his research and leadership, including most recently the 2023 IEEE Computer Society Sidney Fernbach Award and the 2024 CRA Distinguished Service Award.
Manish is the founding chair of the IEEE Technical Consortium on High Performance Computing (TCHPC), and is Fellow of AAAS, ACM, and IEEE/IEEE Computer Society. For more information, please visit manishparashar.org.