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
Transforming Teachers' Roles and Agencies in the Era of Generative AI: Perceptions, Acceptance, Knowledge, and Practices
Xiaoming Zhai
AiBAT: Artificial Intelligence/Instructions for Build, Assembly, and Test
Benjamin Nuernberger, Anny Liu, Heather Stefanini, Richard Otis, Amanda Towler, R. Peter Dillon
AI-rays: Exploring Bias in the Gaze of AI Through a Multimodal Interactive Installation
Ziyao Gao, Yiwen Zhang, Ling Li, Theodoros Papatheodorou, Wei Zeng
The why, what, and how of AI-based coding in scientific research
Tonghe Zhuang, Zhicheng Lin
Auction-Based Regulation for Artificial Intelligence
Marco Bornstein, Zora Che, Suhas Julapalli, Abdirisak Mohamed, Amrit Singh Bedi, Furong Huang
OpenMathInstruct-2: Accelerating AI for Math with Massive Open-Source Instruction Data
Shubham Toshniwal, Wei Du, Ivan Moshkov, Branislav Kisacanin, Alexan Ayrapetyan, Igor Gitman
Seeing Eye to AI: Human Alignment via Gaze-Based Response Rewards for Large Language Models
Angela Lopez-Cardona, Carlos Segura, Alexandros Karatzoglou, Sergi Abadal, Ioannis Arapakis
Stars, Stripes, and Silicon: Unravelling the ChatGPT's All-American, Monochrome, Cis-centric Bias
Federico Torrielli
Distributed AI Platform for the 6G RAN
Ganesh Ananthanarayanan, Xenofon Foukas, Bozidar Radunovic, Yongguang Zhang
An Early-Stage Workflow Proposal for the Generation of Safe and Dependable AI Classifiers
Hans Dermot Doran, Suzana Veljanovska
ROK Defense M&S in the Age of Hyperscale AI: Concepts, Challenges, and Future Directions
Youngjoon Lee, Taehyun Park, Yeongjoon Kang, Jonghoe Kim, Joonhyuk Kang
Probing Mechanical Reasoning in Large Vision Language Models
Haoran Sun, Qingying Gao, Haiyun Lyu, Dezhi Luo, Hokin Deng, Yijiang Li
Social Conjuring: Multi-User Runtime Collaboration with AI in Building Virtual 3D Worlds
Cyan DeVeaux, Amina Kobenova, Samyak Parajuli, Andrzej Banburski-Fahey, Judith Amores Fernandez, Jaron Lanier
Possible principles for aligned structure learning agents
Lancelot Da Costa, Tomáš Gavenčiak, David Hyland, Mandana Samiei, Cristian Dragos-Manta, Candice Pattisapu, Adeel Razi, Karl Friston
The age of spiritual machines: Language quietus induces synthetic altered states of consciousness in artificial intelligence
Jeremy I Skipper, Joanna Kuc, Greg Cooper, Christopher Timmermann
Maia-2: A Unified Model for Human-AI Alignment in Chess
Zhenwei Tang, Difan Jiao, Reid McIlroy-Young, Jon Kleinberg, Siddhartha Sen, Ashton Anderson
FlyAI -- The Next Level of Artificial Intelligence is Unpredictable! Injecting Responses of a Living Fly into Decision Making
Denys J.C. Matthies, Ruben Schlonsak, Hanzhi Zhuang, Rui Song
Interpretable Rule-Based System for Radar-Based Gesture Sensing: Enhancing Transparency and Personalization in AI
Sarah Seifi, Tobias Sukianto, Cecilia Carbonelli, Lorenzo Servadei, Robert Wille
AI versus AI in Financial Crimes and Detection: GenAI Crime Waves to Co-Evolutionary AI
Eren Kurshan, Dhagash Mehta, Bayan Bruss, Tucker Balch