Artificial Intelligence
Artificial intelligence (AI) research focuses on creating systems capable of performing tasks that typically require human intelligence, with current efforts concentrating on improving model alignment with human values, enhancing transparency and accountability in AI systems, and mitigating risks associated with bias and malicious use. Prominent approaches involve large language models (LLMs), deep learning architectures like nnU-Net, and reinforcement learning techniques, often applied within specific domains such as healthcare, cybersecurity, and scientific research. The widespread adoption of AI across diverse fields necessitates rigorous investigation into its ethical implications, safety, and societal impact, driving ongoing research to develop more robust, reliable, and responsible AI systems.
Papers
AI Governance in Higher Education: Case Studies of Guidance at Big Ten Universities
Chuhao Wu, He Zhang, John M. Carroll
Applications and Advances of Artificial Intelligence in Music Generation:A Review
Yanxu Chen, Linshu Huang, Tian Gou
Empirical evidence of Large Language Model's influence on human spoken communication
Hiromu Yakura, Ezequiel Lopez-Lopez, Levin Brinkmann, Ignacio Serna, Prateek Gupta, Iyad Rahwan
TASL-Net: Tri-Attention Selective Learning Network for Intelligent Diagnosis of Bimodal Ultrasound Video
Chengqian Zhao, Zhao Yao, Zhaoyu Hu, Yuanxin Xie, Yafang Zhang, Yuanyuan Wang, Shuo Li, Jianhua Zhou, Jianqiao Zhou, Yin Wang, Jinhua Yu
CyberCortex.AI: An AI-based Operating System for Autonomous Robotics and Complex Automation
Sorin Grigorescu, Mihai Zaha
AI Literacy for All: Adjustable Interdisciplinary Socio-technical Curriculum
Sri Yash Tadimalla, Mary Lou Maher
Declarative Integration and Management of Large Language Models through Finite Automata: Application to Automation, Communication, and Ethics
Thierry Petit, Arnault Pachot, Claire Conan-Vrinat, Alexandre Dubarry
Unlocking the Wisdom of Large Language Models: An Introduction to The Path to Artificial General Intelligence
Edward Y. Chang
Adapting to the AI Disruption: Reshaping the IT Landscape and Educational Paradigms
Murat Ozer, Yasin Kose, Goksel Kucukkaya, Assel Mukasheva, Kazim Ciris
Artificial Intelligence in Gastrointestinal Bleeding Analysis for Video Capsule Endoscopy: Insights, Innovations, and Prospects (2008-2023)
Tanisha Singh, Shreshtha Jha, Nidhi Bhatt, Palak Handa, Nidhi Goel, Sreedevi Indu
Data Formulator 2: Iteratively Creating Rich Visualizations with AI
Chenglong Wang, Bongshin Lee, Steven Drucker, Dan Marshall, Jianfeng Gao
AI, Climate, and Transparency: Operationalizing and Improving the AI Act
Nicolas Alder, Kai Ebert, Ralf Herbrich, Philipp Hacker
What Machine Learning Tells Us About the Mathematical Structure of Concepts
Jun Otsuka
How will advanced AI systems impact democracy?
Christopher Summerfield, Lisa Argyle, Michiel Bakker, Teddy Collins, Esin Durmus, Tyna Eloundou, Iason Gabriel, Deep Ganguli, Kobi Hackenburg, Gillian Hadfield, Luke Hewitt, Saffron Huang, Helene Landemore, Nahema Marchal, Aviv Ovadya, Ariel Procaccia, Mathias Risse, Bruce Schneier, Elizabeth Seger, Divya Siddarth, Henrik Skaug Sætra, MH Tessler, Matthew Botvinick
Brain-inspired Artificial Intelligence: A Comprehensive Review
Jing Ren, Feng Xia
A global AI community requires language-diverse publishing
Haley Lepp, Parth Sarin