“As with other major technological changes, generative AI will create opportunities for some and heartbreak for others. Workers — especially those with the least formal education — want safeguards that protect them from disruption and unemployment,” said Carl Van Horn
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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.
Marc Pfeiffer Participates in Eagleton Podcast on the Pros and Cons of Artificial Intelligence
Marc Pfeiffer, Assistant Director, Bloustein Local (CUPR), Doctor Lauren Goodlad, and Senator Andrew Zwicker discussed the impact of Artificial Intelligence (AI) on democracy, government, and higher education in a podcast hosted by the Rutgers Eagleton Institute of Politics.
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
EJB Talks: Public Informatics Spotlight–from Data Analytics to Artificial Intelligence Impacts
Public Informatics Program director Jim Samuel talks about his path to studying the Big Data phenomenon, the future of informatics and artificial intelligence, and what the arrival of Chat GPT means for society.
NJSPL – Artificial Intelligence and Open Data for Public Good: Implications for Public Policy
The latest NJSPL blog discusses the value of utilizing artificial intelligence and open data to better benefit people and businesses alike. The open data movement is intended to take data out of the confines of the technologically privileged few and make it easier for all people to use, reuse, and consume data.
NJSPL – Intelligent Help for the Opioid Crisis Lifecycle
An important line of defense against the opioid problem is the prevention of overdose deaths following abuse and addiction. It is possible to make this happen using informatics, robotics, and AI technologies for prevention, identification, treatment, and rehabilitation.
New Jersey State Policy Lab: Using Creative Informatics and Artificial Intelligence to Address the Drug Addiction Crisis in New Jersey
New Jersey has a persistent substance addiction problem which must be viewed in the context of laws, policies, and initiatives implemented to address it.
Research: Adaptive cognitive fit: Artificial intelligence augmented management of information facets and representations
Artificially intelligent technologies that can adapt information representations to overcome cognitive limitations are necessary for complex information environments.