91制片厂

Researchers from 91制片厂鈥檚 College of Engineering and College of Computing & Informatics are among the first cohort tapped by the U.S. National Science Foundation to approach the challenge of advancing safe, secure and trustworthy artificial intelligence programs. In a ceremony at the White House on May 6, the president鈥檚 introduced Drexel鈥檚 effort to use brain-inspired machine learning algorithms to improve transparency and oversight of large language models, like ChatGPT, as one of the first recipients of resource allocation under the program.

, the program is initially funding research focused on five areas of artificial intelligence technology:

路      Testing, evaluating, verifying, and validating AI systems

路      Improving accuracy, validity, and reliability of model performance, while controlling bias

路      Increasing the interpretability and privacy of learned models

路      Reducing the vulnerability of models to families of adversarial attacks

路      Advancing capabilities for assuring that model functionality aligns with societal values and obeys safety guarantees

The project, entitled "Neuro-inspired Oversight for Safe and Trustworthy Large Language Models,鈥� will be led by Edward Kim, PhD, an associate professor in the College of Computing & Informatics and Matthew Stamm, PhD, an associate professor in the College of Engineering. It will employ machine learning algorithms modeled after the brain鈥檚 neural pathways to ensure LLM programs are producing accurate, unbiased responses that are internally moderated by the LLMs own behavioral control center, a kind of prefrontal cortex that dictates how it should behave in socially acceptable ways.

鈥淏eing included in the federal government鈥檚 first efforts to develop guardrail systems for AI technology is a significant recognition of Drexel鈥檚 field-leading research and substantial faculty expertise in this area,鈥� said Aleister Saunders, PhD, Drexel鈥檚 executive vice provost for Research & Innovation. 鈥淎s this technology reshapes how we live, learn and interact, researchers like Ed and Matt will play a pivotal role in helping to ensure that AI is being used to society鈥檚 benefit, rather than its detriment.鈥�

Kim鈥檚 research focuses on the ethical design of AI and machine learning technology, including in the algorithms that drive it. His studies a type of AI, called sparse coding, modeled after the mammalian brain.

厂迟补尘尘鈥檚 leads information forensic research by developing technologies to , such as 鈥渄eepfakes,鈥� and AI-generated images and videos. His approach involves using constrained neural network machine learning programs to sift out the digital fingerprints of each type of digital manipulation and the hallmarks of synthetic media.

Drexel has established itself as a leader in AI research for more than a decade. Drexel researchers are leading efforts to develop the technology for health care applications ranging from , to detecting Alzheimer鈥檚 disease and premature brain aging, to interpreting ultrasound imaging and even . They are testing AI in the field 鈥� a number of fields, in fact 鈥� including rapidly changing military scenarios; and ; online learning environments and lantern fly-infested regions. And they are looking at its early impacts in academic settings.

The University鈥檚 recent reaffirmation of artificial intelligence as a key focus of interdisciplinary research efforts has enabled collaborations, like Stamm and Kim鈥檚, to flourish. Both researchers are also representing Drexel, along with a number of colleagues from across the University, on the Department of Commerce鈥檚 recently announced U.S. AI Safety Consortium. They are also helping to guide Drexel鈥檚 academic policies and recommendations around using AI in the classroom.

Drexel鈥檚 project was one of 35 such efforts recognized during the White House 鈥檚 launch of the NSF pilot program at a ceremony in the Eisenhower Executive Office Building at the White House on May 6.