GenAI Integration
GenAI integration explores the incorporation of generative artificial intelligence models, such as large language models (LLMs) and diffusion models, into various sectors, aiming to understand their impact and develop effective strategies for responsible implementation. Current research focuses on addressing ethical concerns, mitigating risks like bias and misinformation, and developing frameworks for trustworthy and efficient GenAI applications across education, business, and scientific research. This rapidly evolving field holds significant implications for improving productivity, automating tasks, and enhancing creativity, but also necessitates careful consideration of potential societal and ethical consequences.
44papers
Papers
April 1, 2025
February 28, 2025
February 20, 2025
GenAI vs. Human Fact-Checkers: Accurate Ratings, Flawed Rationales
Yuehong Cassandra Tai, Khushi Navin Patni, Nicholas Daniel Hemauer, Bruce Desmarais, Yu-Ru LinPenn State University●University of PittsburghHuman Misperception of Generative-AI Alignment: A Laboratory Experiment
Kevin He, Ran Shorrer, Mengjia XiaUniversity of Pennsylvania●The Pennsylvania State University
February 1, 2025
January 31, 2025
December 21, 2024