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Stamato Commentary: Preparing for a New Age: Artificial Intelligence, the American Workforce and the G.I. Bill

“Modern manufacturing requires high technology, requiring different skills from those needed in the 20th century.  We can innovate in pharmaceuticals, clean-energy technology, robotics and semiconductors, but those innovations will require “infrastructure” to support its development, education and workforce training, and, frankly, cooperative alliances with global partners.”

MPI Grad Students Present MOMCare with AI

This paper presents MOMCare, a chatbot designed to support mothers navigating the challenges of PPD. MOMCare has a retrieval-augmented architecture with an end-to-end pipeline from data preprocessing to response generation. It employs hybrid classification, a dual embedding system, a dual verification guardrail, and a medical domain-specific reranking mechanism to generate empathetic and relevant PPD responses.

Samuel Researches Gambling Harm Reduction in Online Spaces

Our exploratory analyses suggest that this reddit forum provides important information on how users communicate motivations to gamble, interpretations of gambling experiences, and define potential harms related to gambling online as well as how to avoid or remedy those harms.

Generative Artificial Intelligence and the Workforce

The proliferation of generative artificial intelligence (GenAI) in the workplace, a type of artificial intelligence capable of generating new content, has fostered growing concerns about how deployment will impact work and workers. While the effects of GenAI on the...

Bhuyan and Samuel Explore Generative AI Use in Healthcare

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.

GenAI, Ingenuity, the Law, and Unintended Consequences

Andrews begins by asking the age-old question: “If people want the benefits of innovations, must they simply accept the unintended adverse consequences”? He implies that there
are certain tools and techniques that could assist designers in addressing challenges before they take root, so that the challenges may be easily preventable before diffusion of an innovation into the market.

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.

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