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
Responsible Artificial Intelligence: A Structured Literature Review
Sabrina Goellner, Marina Tropmann-Frick, Bostjan Brumen
Lander.AI: Adaptive Landing Behavior Agent for Expertise in 3D Dynamic Platform Landings
Robinroy Peter, Lavanya Ratnabala, Demetros Aschu, Aleksey Fedoseev, Dzmitry Tsetserukou
On the Consideration of AI Openness: Can Good Intent Be Abused?
Yeeun Kim, Eunkyung Choi, Hyunjun Kim, Hongseok Oh, Hyunseo Shin, Wonseok Hwang
A Survey on Human-AI Teaming with Large Pre-Trained Models
Vanshika Vats, Marzia Binta Nizam, Minghao Liu, Ziyuan Wang, Richard Ho, Mohnish Sai Prasad, Vincent Titterton, Sai Venkat Malreddy, Riya Aggarwal, Yanwen Xu, Lei Ding, Jay Mehta, Nathan Grinnell, Li Liu, Sijia Zhong, Devanathan Nallur Gandamani, Xinyi Tang, Rohan Ghosalkar, Celeste Shen, Rachel Shen, Nafisa Hussain, Kesav Ravichandran, James Davis
The Social Impact of Generative AI: An Analysis on ChatGPT
Maria T. Baldassarre, Danilo Caivano, Berenice Fernandez Nieto, Domenico Gigante, Azzurra Ragone
Machine learning and information theory concepts towards an AI Mathematician
Yoshua Bengio, Nikolay Malkin
Evacuation Management Framework towards Smart City-wide Intelligent Emergency Interactive Response System
Anuj Abraham, Yi Zhang, Shitala Prasad
A challenge in A(G)I, cybernetics revived in the Ouroboros Model as one algorithm for all thinking
Knud Thomsen
Generative AI for Synthetic Data Generation: Methods, Challenges and the Future
Xu Guo, Yiqiang Chen
An Explainable AI Framework for Artificial Intelligence of Medical Things
Al Amin, Kamrul Hasan, Saleh Zein-Sabatto, Deo Chimba, Imtiaz Ahmed, Tariqul Islam
Understanding Biology in the Age of Artificial Intelligence
Elsa Lawrence, Adham El-Shazly, Srijit Seal, Chaitanya K Joshi, Pietro Liò, Shantanu Singh, Andreas Bender, Pietro Sormanni, Matthew Greenig
Artificial Intelligence Exploring the Patent Field
Lekang Jiang, Stephan Goetz
Levels of AI Agents: from Rules to Large Language Models
Yu Huang
Redefining cystoscopy with ai: bladder cancer diagnosis using an efficient hybrid cnn-transformer model
Meryem Amaouche, Ouassim Karrakchou, Mounir Ghogho, Anouar El Ghazzaly, Mohamed Alami, Ahmed Ameur
Enhancing ASD detection accuracy: a combined approach of machine learning and deep learning models with natural language processing
Sergio Rubio-Martín, María Teresa García-Ordás, Martín Bayón-Gutiérrez, Natalia Prieto-Fernández, José Alberto Benítez-Andrades
VLSP 2023 -- LTER: A Summary of the Challenge on Legal Textual Entailment Recognition
Vu Tran, Ha-Thanh Nguyen, Trung Vo, Son T. Luu, Hoang-Anh Dang, Ngoc-Cam Le, Thi-Thuy Le, Minh-Tien Nguyen, Truong-Son Nguyen, Le-Minh Nguyen