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
ChatGPT and Beyond: The Generative AI Revolution in Education
Mohammad AL-Smadi
Eye vs. AI: Human Gaze and Model Attention in Video Memorability
Prajneya Kumar, Eshika Khandelwal, Makarand Tapaswi, Vishnu Sreekumar
Large Language Models in Law: A Survey
Jinqi Lai, Wensheng Gan, Jiayang Wu, Zhenlian Qi, Philip S. Yu
Evaluating Large Language Models through Gender and Racial Stereotypes
Ananya Malik
Who is leading in AI? An analysis of industry AI research
Ben Cottier, Tamay Besiroglu, David Owen
RAISE -- Radiology AI Safety, an End-to-end lifecycle approach
M. Jorge Cardoso, Julia Moosbauer, Tessa S. Cook, B. Selnur Erdal, Brad Genereaux, Vikash Gupta, Bennett A. Landman, Tiarna Lee, Parashkev Nachev, Elanchezhian Somasundaram, Ronald M. Summers, Khaled Younis, Sebastien Ourselin, Franz MJ Pfister
What you need to know about a learning robot: Identifying the enabling architecture of complex systems
Helen Beierling, Phillip Richter, Mara Brandt, Lutz Terfloth, Carsten Schulte, Heiko Wersing, Anna-Lisa Vollmer
New Epochs in AI Supervision: Design and Implementation of an Autonomous Radiology AI Monitoring System
Vasantha Kumar Venugopal, Abhishek Gupta, Rohit Takhar, Vidur Mahajan
A Survey of Blockchain, Artificial Intelligence, and Edge Computing for Web 3.0
Jianjun Zhu, Fan Li, Jinyuan Chen
Quantum learning and essential cognition under the traction of meta-characteristics in an open world
Jin Wang, Changlin Song
The Rise of Creative Machines: Exploring the Impact of Generative AI
Saad Shaikh, Rajat bendre, Sakshi Mhaske
Artificial Intelligence in the Service of Entrepreneurial Finance: Knowledge Structure and the Foundational Algorithmic Paradigm
Robert Kudelić, Tamara Šmaguc, Sherry Robinson
AI for Agriculture: the Comparison of Semantic Segmentation Methods for Crop Mapping with Sentinel-2 Imagery
Irina Korotkova, Natalia Efremova
Crowd management, crime detection, work monitoring using aiml
P. R. Adithya, Dheepak. S, B. Akash, Harshini. V, Sai Lakshana
Trustworthy AI: Deciding What to Decide
Caesar Wu, Yuan-Fang Li, Jian Li, Jingjing Xu, Bouvry Pascal
Fair Enough? A map of the current limitations of the requirements to have fair algorithms
Daniele Regoli, Alessandro Castelnovo, Nicole Inverardi, Gabriele Nanino, Ilaria Penco
AR Visualization System for Ship Detection and Recognition Based on AI
Ziqi Ye, Limin Huang, Yongji Wu, Min Hu