Researchers from Drexel University are part of the first group selected by the U. S. National Science Foundation to address the challenge of advancing safe and trustworthy artificial intelligence (AI) programs. Drexel's project focuses on using brain-inspired machine learning algorithms to improve the transparency and oversight of large language models, like ChatGPT. This initiative is supported by the NSF and the Department of Energy. The project, titled "Neuro-inspired Oversight for Safe and Trustworthy Large Language Models, " will be led by Dr. Edward Kim and Dr.

Matthew Stamm. They aim to develop machine learning algorithms based on the brain's neural pathways to ensure that these language models produce accurate and unbiased responses. The algorithms will be moderated by the models' own behavioral control center, similar to the prefrontal cortex, to ensure socially acceptable behavior. This recognition of Drexel's research and expertise in AI by the federal government highlights the university's leadership in this field. Kim's research focuses on ethical design and addressing implicit bias in AI algorithms, while Stamm's work involves detecting multimedia forgeries and AI-generated content. Drexel has been at the forefront of AI research for over a decade, with ongoing projects in various domains such as healthcare, military scenarios, infrastructure, and education. Drexel's project was acknowledged during a ceremony at the White House, where the NSF pilot program was launched by the Office of Science and Technology Policy.