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
To Train or Not to Train: Balancing Efficiency and Training Cost in Deep Reinforcement Learning for Mobile Edge Computing
Maddalena Boscaro, Federico Mason, Federico Chiariotti, Andrea Zanella
Intelligent Green Efficiency for Intrusion Detection
Pedro Pereira, Paulo Mendes, João Vitorino, Eva Maia, Isabel Praça
Generative midtended cognition and Artificial Intelligence. Thinging with thinging things
Xabier E. Barandiaran, Marta Pérez-Verdugo
A Next-Generation Approach to Airline Reservations: Integrating Cloud Microservices with AI and Blockchain for Enhanced Operational Performance
Biman Barua, M. Shamim Kaiser
Probabilistic Consensus through Ensemble Validation: A Framework for LLM Reliability
Ninad Naik
MatPilot: an LLM-enabled AI Materials Scientist under the Framework of Human-Machine Collaboration
Ziqi Ni, Yahao Li, Kaijia Hu, Kunyuan Han, Ming Xu, Xingyu Chen, Fengqi Liu, Yicong Ye, Shuxin Bai
Generating Mixcode Popular Songs with Artificial Intelligence: Concepts, Plans, and Speculations
Abhishek Kaushik, Kayla Rush
Balancing Power and Ethics: A Framework for Addressing Human Rights Concerns in Military AI
Mst Rafia Islam, Azmine Toushik Wasi
Prompts Matter: Comparing ML/GAI Approaches for Generating Inductive Qualitative Coding Results
John Chen, Alexandros Lotsos, Lexie Zhao, Grace Wang, Uri Wilensky, Bruce Sherin, Michael Horn
AI's Spatial Intelligence: Evaluating AI's Understanding of Spatial Transformations in PSVT:R and Augmented Reality
Uttamasha Monjoree, Wei Yan
Artificial Intelligence for Collective Intelligence: A National-Scale Research Strategy
Seth Bullock (1), Nirav Ajmeri (1), Mike Batty (2), Michaela Black (3), John Cartlidge (1), Robert Challen (1), Cangxiong Chen (4), Jing Chen (5), Joan Condell (3), Leon Danon (1), Adam Dennett (2), Alison Heppenstall (6), Paul Marshall (1), Phil Morgan (5), Aisling O'Kane (1), Laura G. E. Smith (4), Theresa Smith (4), Hywel T. P. Williams (7) ((1) University of Bristol, (2) University College London, (3) Ulster University, (4) University of Bath, (5) Cardiff University, (6) University of Glasgow, (7) University of Exeter)
Diversity and Inclusion in AI for Recruitment: Lessons from Industry Workshop
Muneera Bano, Didar Zowghi, Fernando Mourao, Sarah Kaur, Tao Zhang
A Comprehensive Guide to Enhancing Antibiotic Discovery Using Machine Learning Derived Bio-computation
Khartik Uppalapati, Eeshan Dandamudi, S. Nick Ice, Gaurav Chandra, Kirsten Bischof, Christian L. Lorson, Kamal Singh
Quantifying artificial intelligence through algebraic generalization
Takuya Ito, Murray Campbell, Lior Horesh, Tim Klinger, Parikshit Ram
ICE-T: A Multi-Faceted Concept for Teaching Machine Learning
Hendrik Krone, Pierre Haritz, Thomas Liebig
Seeing Through the Fog: A Cost-Effectiveness Analysis of Hallucination Detection Systems
Alexander Thomas, Seth Rosen, Vishnu Vettrivel
Evaluating GPT-4 at Grading Handwritten Solutions in Math Exams
Adriana Caraeni, Alexander Scarlatos, Andrew Lan
Public Procurement for Responsible AI? Understanding U.S. Cities' Practices, Challenges, and Needs
Nari Johnson, Elise Silva, Harrison Leon, Motahhare Eslami, Beth Schwanke, Ravit Dotan, Hoda Heidari
FrontierMath: A Benchmark for Evaluating Advanced Mathematical Reasoning in AI
Elliot Glazer, Ege Erdil, Tamay Besiroglu, Diego Chicharro, Evan Chen, Alex Gunning, Caroline Falkman Olsson, Jean-Stanislas Denain, Anson Ho, Emily de Oliveira Santos, Olli Järviniemi, Matthew Barnett, Robert Sandler, Jaime Sevilla, Qiuyu Ren, Elizabeth Pratt, Lionel Levine, Grant Barkley, Natalie Stewart, Bogdan Grechuk, Tetiana Grechuk, Shreepranav Varma Enugandla
Clinicians' Voice: Fundamental Considerations for XAI in Healthcare
T. E. Röber, R. Goedhart, S. İ. Birbil