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
Spontaneous Theory of Mind for Artificial Intelligence
Nikolos Gurney, David V. Pynadath, Volkan Ustun
"Understanding AI": Semantic Grounding in Large Language Models
Holger Lyre
I would love this to be like an assistant, not the teacher: a voice of the customer perspective of what distance learning students want from an Artificial Intelligence Digital Assistant
Bart Rienties, John Domingue, Subby Duttaroy, Christothea Herodotou, Felipe Tessarolo, Denise Whitelock
Symmetry-Breaking Augmentations for Ad Hoc Teamwork
Ravi Hammond, Dustin Craggs, Mingyu Guo, Jakob Foerster, Ian Reid
Current and future roles of artificial intelligence in retinopathy of prematurity
Ali Jafarizadeh, Shadi Farabi Maleki, Parnia Pouya, Navid Sobhi, Mirsaeed Abdollahi, Siamak Pedrammehr, Chee Peng Lim, Houshyar Asadi, Roohallah Alizadehsani, Ru-San Tan, Sheikh Mohammad Shariful Islam, U. Rajendra Acharya
Alpha-GPT 2.0: Human-in-the-Loop AI for Quantitative Investment
Hang Yuan, Saizhuo Wang, Jian Guo
Exploring a Behavioral Model of "Positive Friction" in Human-AI Interaction
Zeya Chen, Ruth Schmidt
Discovering Sensorimotor Agency in Cellular Automata using Diversity Search
Gautier Hamon, Mayalen Etcheverry, Bert Wang-Chak Chan, Clément Moulin-Frier, Pierre-Yves Oudeyer
Can AI and humans genuinely communicate?
Constant Bonard
FGeo-DRL: Deductive Reasoning for Geometric Problems through Deep Reinforcement Learning
Jia Zou, Xiaokai Zhang, Yiming He, Na Zhu, Tuo Leng
Intelligent Agricultural Management Considering N$_2$O Emission and Climate Variability with Uncertainties
Zhaoan Wang, Shaoping Xiao, Jun Wang, Ashwin Parab, Shivam Patel
Artificial Intelligence for Literature Reviews: Opportunities and Challenges
Francisco Bolanos, Angelo Salatino, Francesco Osborne, Enrico Motta
Intelligent Diagnosis of Alzheimer's Disease Based on Machine Learning
Mingyang Li, Hongyu Liu, Yixuan Li, Zejun Wang, Yuan Yuan, Honglin Dai
Taking Training Seriously: Human Guidance and Management-Based Regulation of Artificial Intelligence
Cary Coglianese, Colton R. Crum
Time to Stop and Think: What kind of research do we want to do?
Josu Ceberio, Borja Calvo
Towards Equitable Agile Research and Development of AI and Robotics
Andrew Hundt, Julia Schuller, Severin Kacianka
Inherent Diverse Redundant Safety Mechanisms for AI-based Software Elements in Automotive Applications
Mandar Pitale, Alireza Abbaspour, Devesh Upadhyay
Artificial intelligence and the transformation of higher education institutions
Evangelos Katsamakas, Oleg V. Pavlov, Ryan Saklad
Empowering Federated Learning for Massive Models with NVIDIA FLARE
Holger R. Roth, Ziyue Xu, Yuan-Ting Hsieh, Adithya Renduchintala, Isaac Yang, Zhihong Zhang, Yuhong Wen, Sean Yang, Kevin Lu, Kristopher Kersten, Camir Ricketts, Daguang Xu, Chester Chen, Yan Cheng, Andrew Feng
NeuralSentinel: Safeguarding Neural Network Reliability and Trustworthiness
Xabier Echeberria-Barrio, Mikel Gorricho, Selene Valencia, Francesco Zola