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
Does AI help humans make better decisions? A statistical evaluation framework for experimental and observational studies
Eli Ben-Michael, D. James Greiner, Melody Huang, Kosuke Imai, Zhichao Jiang, Sooahn Shin
Can LLM-Augmented autonomous agents cooperate?, An evaluation of their cooperative capabilities through Melting Pot
Manuel Mosquera, Juan Sebastian Pinzon, Manuel Rios, Yesid Fonseca, Luis Felipe Giraldo, Nicanor Quijano, Ruben Manrique
Machine Learning and Vision Transformers for Thyroid Carcinoma Diagnosis: A review
Yassine Habchi, Hamza Kheddar, Yassine Himeur, Abdelkrim Boukabou, Ammar Chouchane, Abdelmalik Ouamane, Shadi Atalla, Wathiq Mansoor
Causality from Bottom to Top: A Survey
Abraham Itzhak Weinberg, Cristiano Premebida, Diego Resende Faria
Safeguarding Marketing Research: The Generation, Identification, and Mitigation of AI-Fabricated Disinformation
Anirban Mukherjee
Psittacines of Innovation? Assessing the True Novelty of AI Creations
Anirban Mukherjee
Apriori Knowledge in an Era of Computational Opacity: The Role of AI in Mathematical Discovery
Eamon Duede, Kevin Davey
AI-enhanced Collective Intelligence
Hao Cui, Taha Yasseri
The AI Assessment Scale (AIAS) in action: A pilot implementation of GenAI supported assessment
Leon Furze, Mike Perkins, Jasper Roe, Jason MacVaugh
Emotional Intelligence Through Artificial Intelligence : NLP and Deep Learning in the Analysis of Healthcare Texts
Prashant Kumar Nag, Amit Bhagat, R. Vishnu Priya, Deepak kumar Khare
Heuristic Reasoning in AI: Instrumental Use and Mimetic Absorption
Anirban Mukherjee, Hannah Hanwen Chang
Silico-centric Theory of Mind
Anirban Mukherjee, Hannah Hanwen Chang
Incorporating Graph Attention Mechanism into Geometric Problem Solving Based on Deep Reinforcement Learning
Xiuqin Zhong, Shengyuan Yan, Gongqi Lin, Hongguang Fu, Liang Xu, Siwen Jiang, Lei Huang, Wei Fang
Generative Models and Connected and Automated Vehicles: A Survey in Exploring the Intersection of Transportation and AI
Dong Shu, Zhouyao Zhu
AI on AI: Exploring the Utility of GPT as an Expert Annotator of AI Publications
Autumn Toney-Wails, Christian Schoeberl, James Dunham
(Beyond) Reasonable Doubt: Challenges that Public Defenders Face in Scrutinizing AI in Court
Angela Jin, Niloufar Salehi
Developing and Deploying Industry Standards for Artificial Intelligence in Education (AIED): Challenges, Strategies, and Future Directions
Richard Tong, Haoyang Li, Joleen Liang, Qingsong Wen
The Human Factor in Detecting Errors of Large Language Models: A Systematic Literature Review and Future Research Directions
Christian A. Schiller
Language-based game theory in the age of artificial intelligence
Valerio Capraro, Roberto Di Paolo, Matjaz Perc, Veronica Pizziol
Specification Overfitting in Artificial Intelligence
Benjamin Roth, Pedro Henrique Luz de Araujo, Yuxi Xia, Saskia Kaltenbrunner, Christoph Korab