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 Hermeneutic Turn of AI: Is the Machine Capable of Interpreting?
Remy Demichelis
Large-scale cross-modality pretrained model enhances cardiovascular state estimation and cardiomyopathy detection from electrocardiograms: An AI system development and multi-center validation study
Zhengyao Ding, Yujian Hu, Youyao Xu, Chengchen Zhao, Ziyu Li, Yiheng Mao, Haitao Li, Qian Li, Jing Wang, Yue Chen, Mengjia Chen, Longbo Wang, Xuesen Chu, Weichao Pan, Ziyi Liu, Fei Wu, Hongkun Zhang, Ting Chen, Zhengxing Huang
Building Trust: Foundations of Security, Safety and Transparency in AI
Huzaifa Sidhpurwala, Garth Mollett, Emily Fox, Mark Bestavros, Huamin Chen
Coverage-Constrained Human-AI Cooperation with Multiple Experts
Zheng Zhang, Cuong Nguyen, Kevin Wells, Thanh-Toan Do, David Rosewarne, Gustavo Carneiro
Introducing Milabench: Benchmarking Accelerators for AI
Pierre Delaunay, Xavier Bouthillier, Olivier Breuleux, Satya Ortiz-Gagné, Olexa Bilaniuk, Fabrice Normandin, Arnaud Bergeron, Bruno Carrez, Guillaume Alain, Soline Blanc, Frédéric Osterrath, Joseph Viviano, Roger Creus-Castanyer Darshan Patil, Rabiul Awal, Le Zhang
Generative AI on the Edge: Architecture and Performance Evaluation
Zeinab Nezami, Maryam Hafeez, Karim Djemame, Syed Ali Raza Zaidi
Towards a Practical Ethics of Generative AI in Creative Production Processes
Geert Hofman
Robust Markov Decision Processes: A Place Where AI and Formal Methods Meet
Marnix Suilen, Thom Badings, Eline M. Bovy, David Parker, Nils Jansen
Zonal Architecture Development with evolution of Artificial Intelligence
Sneha Sudhir Shetiya, Vikas Vyas, Shreyas Renukuntla
Ethical Challenges and Evolving Strategies in the Integration of Artificial Intelligence into Clinical Practice
Ellison B. Weiner, Irene Dankwa-Mullan, William A. Nelson, Saeed Hassanpour
Artificial Intelligence in Cybersecurity: Building Resilient Cyber Diplomacy Frameworks
Michael Stoltz
Leveraging AI and NLP for Bank Marketing: A Systematic Review and Gap Analysis
Christopher Gerling, Stefan Lessmann
AIGS: Generating Science from AI-Powered Automated Falsification
Zijun Liu, Kaiming Liu, Yiqi Zhu, Xuanyu Lei, Zonghan Yang, Zhenhe Zhang, Peng Li, Yang Liu
Framework for developing and evaluating ethical collaboration between expert and machine
Ayan Banerjee, Payal Kamboj, Sandeep Gupta
Education in the Era of Neurosymbolic AI
Chris Davis Jaldi, Eleni Ilkou, Noah Schroeder, Cogan Shimizu
LLM4DS: Evaluating Large Language Models for Data Science Code Generation
Nathalia Nascimento, Everton Guimaraes, Sai Sanjna Chintakunta, Santhosh Anitha Boominathan
Towards Next-Generation Medical Agent: How o1 is Reshaping Decision-Making in Medical Scenarios
Shaochen Xu, Yifan Zhou, Zhengliang Liu, Zihao Wu, Tianyang Zhong, Huaqin Zhao, Yiwei Li, Hanqi Jiang, Yi Pan, Junhao Chen, Jin Lu, Wei Zhang, Tuo Zhang, Lu Zhang, Dajiang Zhu, Xiang Li, Wei Liu, Quanzheng Li, Andrea Sikora, Xiaoming Zhai, Zhen Xiang, Tianming Liu
Being Considerate as a Pathway Towards Pluralistic Alignment for Agentic AI
Parand A. Alamdari, Toryn Q. Klassen, Rodrigo Toro Icarte, Sheila A. McIlraith
"On the goals of linguistic theory": Revisiting Chomskyan theories in the era of AI
Eva Portelance, Masoud Jasbi
Artificial Intelligence in Pediatric Echocardiography: Exploring Challenges, Opportunities, and Clinical Applications with Explainable AI and Federated Learning
Mohammed Yaseen Jabarulla, Theodor Uden, Thomas Jack, Philipp Beerbaum, Steffen Oeltze-Jafra