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
The Impact and Opportunities of Generative AI in Fact-Checking
Robert Wolfe, Tanushree Mitra
ChatGPT Code Detection: Techniques for Uncovering the Source of Code
Marc Oedingen, Raphael C. Engelhardt, Robin Denz, Maximilian Hammer, Wolfgang Konen
Continuously Learning, Adapting, and Improving: A Dual-Process Approach to Autonomous Driving
Jianbiao Mei, Yukai Ma, Xuemeng Yang, Licheng Wen, Xinyu Cai, Xin Li, Daocheng Fu, Bo Zhang, Pinlong Cai, Min Dou, Botian Shi, Liang He, Yong Liu, Yu Qiao
Explainable AI Enhances Glaucoma Referrals, Yet the Human-AI Team Still Falls Short of the AI Alone
Catalina Gomez, Ruolin Wang, Katharina Breininger, Corinne Casey, Chris Bradley, Mitchell Pavlak, Alex Pham, Jithin Yohannan, Mathias Unberath
Oil & Water? Diffusion of AI Within and Across Scientific Fields
Eamon Duede, William Dolan, André Bauer, Ian Foster, Karim Lakhani
Artificial Intelligence (AI) in Legal Data Mining
Aniket Deroy, Naksatra Kumar Bailung, Kripabandhu Ghosh, Saptarshi Ghosh, Abhijnan Chakraborty
Preliminary Study of the Impact of AI-Based Interventions on Health and Behavioral Outcomes in Maternal Health Programs
Arpan Dasgupta, Niclas Boehmer, Neha Madhiwalla, Aparna Hedge, Bryan Wilder, Milind Tambe, Aparna Taneja
The Dual Imperative: Innovation and Regulation in the AI Era
Paulo Carvão
Does context matter in digital pathology?
Paulina Tomaszewska, Mateusz Sperkowski, Przemysław Biecek
Generalizing Weather Forecast to Fine-grained Temporal Scales via Physics-AI Hybrid Modeling
Wanghan Xu, Fenghua Ling, Wenlong Zhang, Tao Han, Hao Chen, Wanli Ouyang, Lei Bai
A social path to human-like artificial intelligence
Edgar A. Duéñez-Guzmán, Suzanne Sadedin, Jane X. Wang, Kevin R. McKee, Joel Z. Leibo
Qualitative and quantitative analysis of student's perceptions in the use of generative AI in educational environments
Sergio Altares-López, José M. Bengochea-Guevara, Carlos Ranz, Héctor Montes, Angela Ribeiro
Blockchain and Artificial Intelligence: Synergies and Conflicts
Leon Witt, Armando Teles Fortes, Kentaroh Toyoda, Wojciech Samek, Dan Li
"Turing Tests" For An AI Scientist
Xiaoxin Yin
How Reliable AI Chatbots are for Disease Prediction from Patient Complaints?
Ayesha Siddika Nipu, K M Sajjadul Islam, Praveen Madiraju
Efficient Orchestrated AI Workflows Execution on Scale-out Spatial Architecture
Jinyi Deng, Xinru Tang, Zhiheng Yue, Guangyang Lu, Qize Yang, Jiahao Zhang, Jinxi Li, Chao Li, Shaojun Wei, Yang Hu, Shouyi Yin
AI in Manufacturing: Market Analysis and Opportunities
Mohamed Abdelaal
Quelle {\'e}thique pour quelle IA ?
David Doat
A Survey of Artificial Intelligence in Gait-Based Neurodegenerative Disease Diagnosis
Haocong Rao, Minlin Zeng, Xuejiao Zhao, Chunyan Miao