This paper examines various clinical and non-clinical applications of Gen AI. In clinical settings, Gen AI supports the creation of customized treatment plans, generation of synthetic data, analysis of medical images, nursing workflow management, risk prediction, pandemic preparedness, and population health management.
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Jim Samuel
Samuel Editorial: AI Education & Governance
Professor Jim Samuel co-authored this editorial for Frontiers in Artificial Intelligence. A new era of artificial intelligence (AI) has emerged, profoundly influencing various aspects of human life while presenting new socio-technical challenges and risks across domains like medicine, education, law, governance, and the military.
RAISE-24 Recap: Does News Media Spread Fear of AI?
The final round for the RAISE-24 Informatics – Data Science competition was held Friday, April 19, 2024 at the Bloustein School. Hosted by the Master of Public Informatics (MPI) program, the inaugural competition challenge asked competitors “Does News Media Spread Fear of AI?”
Bloustein event discusses opportunities, ramifications associated with AI
The webinar was hosted in collaboration with the AI Social Impact Lab and the Garfield City Council, and was moderated by Jim Samuel, an associate professor of practice and executive director of the Master of Public Informatics program at the Bloustein School.
Podcast: Jim Samuel Discusses Rise and Risks of AI with Scholars Strategy Network
Professor Jim Samuel explains what generative AI is, how it functions, and its ethical concerns.
Samuel, Thakuriah Weigh In on Gov. Murphy’s New AI Task Force
Samuel said AI can be a powerful tool in amplifying the voices of U.S. citizens and promoting civic engagement. He said AI can help the government rapidly collect thoughts and feedback from individuals when penning legislation. Thakuriah emphasized the impact on transportation.
Research by Jim Samuel et al. “Customized AI Readers: An Adaptive Framework for Flexible Human Handwriting Recognition of Numerical Digits with OCR Methods”
This study develops an index dubbed the pandemic vulnerability index at city level (PVI-CI) for classifying the pandemic vulnerability levels of cities, grouping them into five vulnerability classes, from very high to very low. It provides critical wisdom needed for urban healthcare policy and resource management.
New Research Brief by Jim Samuel: The Critical Need for Transparency and Regulation Amidst the Rise of Powerful AI Models
Given AI’s vast socioeconomic implications, government actors and technology creators must proactively address the unique and emerging ethical concerns that are inherent to AI’s many uses
Research by Jim Samuel et al. “Pandemic vulnerability index of US cities: A hybrid knowledge-based and data-driven approach”
This study develops an index dubbed the pandemic vulnerability index at city level (PVI-CI) for classifying the pandemic vulnerability levels of cities, grouping them into five vulnerability classes, from very high to very low. It provides critical wisdom needed for urban healthcare policy and resource management.
What can we expect from AI and Chatbots in the next few years?
On March 15, Newswise hosted an expert panel on how artificial intelligence and chatbots are changing the landscape of journalism and the transfer of knowledge (watch the video and read the transcript here). Panelists included Sercan Ozcan, Associate Professor of...