This spring, Penn State's Center for Socially Responsible Artificial Intelligence will open to study the societal impacts of artificial intelligence and promote its use to solve social issues. The center will be open to students, faculty and staff members of all colleges. It will be located in the College of Information Sciences and Technology. Prasenjit Mitra, associate dean for research and a professor for the College of IST, will serve as the inaugural director of the center and will help guide its future direction, with the help of the executive committee. "The goal of the center is to bring together scholars from all disciplines and figure out how artificial intelligence technologies should be designed in a socially responsible manner and how artificial intelligence technologies can be used to change society for the better," Mitra said.

UC San Francisco (UCSF) announced the launch of the Center for Intelligence or ci2 that focuses on accelerating the adoption of artificial intelligence (AI) technology to radiology, leveraging advanced computational techniques and industry collaborations to improve patient diagnoses and care. As part of the center, Investigators in ci2 will collaborate with NVIDIA Corp to build infrastructure and tools focused on enabling the translation of AI into clinical practice. The Center is comprised of clinical radiologists, imaging scientists, engineers, machine learning scientists, data engineers, clinicians, post-doctoral fellows, and students collaborating to develop and deploy artificial intelligence that will solve critical clinical problems by advancing the way in which healthcare professionals are able to utilize and deliver imaging. Tools under development include organ and tissue segmentation, automated volumetry and morphological quantification, and disease visualization. NVIDIA engineers and data scientists will work alongside UCSF investigators to develop clinical AI tools, applying powerful computational resources that are available in a few medical institutions, with the goal of accelerating the AI development cycle and integrating it seamlessly in the clinic.