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
Nationality, Race, and Ethnicity Biases in and Consequences of Detecting AI-Generated Self-Presentations
Haoran Chu, Linjuan Rita Men, Sixiao Liu, Shupei Yuan, Yuan Sun
SoK: On the Offensive Potential of AI
Saskia Laura Schröer, Giovanni Apruzzese, Soheil Human, Pavel Laskov, Hyrum S. Anderson, Edward W. N. Bernroider, Aurore Fass, Ben Nassi, Vera Rimmer, Fabio Roli, Samer Salam, Ashley Shen, Ali Sunyaev, Tim Wadwha-Brown, Isabel Wagner, Gang Wang
GenAI Content Detection Task 2: AI vs. Human -- Academic Essay Authenticity Challenge
Shammur Absar Chowdhury, Hind Almerekhi, Mucahid Kutlu, Kaan Efe Keles, Fatema Ahmad, Tasnim Mohiuddin, George Mikros, Firoj Alam
Towards Cognitive Service Delivery on B5G through AIaaS Architecture
Larissa F. Rodrigues Moreira, Rodrigo Moreira, Flávio de Oliveira Silva, André R. Backes
Large Language Model Safety: A Holistic Survey
Dan Shi, Tianhao Shen, Yufei Huang, Zhigen Li, Yongqi Leng, Renren Jin, Chuang Liu, Xinwei Wu, Zishan Guo, Linhao Yu, Ling Shi, Bojian Jiang, Deyi Xiong
The Role of XAI in Transforming Aeronautics and Aerospace Systems
Francisco Javier Cantero Zorita, Mikel Galafate, Javier M. Moguerza, Isaac Martín de Diego, M. Teresa Gonzalez, Gema Gutierrez Peña
How Green Can AI Be? A Study of Trends in Machine Learning Environmental Impacts
Clément Morand (STL), Anne-Laure Ligozat (ENSIIE, LISN, STL), Aurélie Névéol (STL, LISN)
"From Unseen Needs to Classroom Solutions": Exploring AI Literacy Challenges & Opportunities with Project-based Learning Toolkit in K-12 Education
Hanqi Li, Ruiwei Xiao, Hsuan Nieu, Ying-Jui Tseng, Guanze Liao
Mathematics and Machine Creativity: A Survey on Bridging Mathematics with AI
Shizhe Liang, Wei Zhang, Tianyang Zhong, Tianming Liu
Towards Environmentally Equitable AI
Mohammad Hajiesmaili, Shaolei Ren, Ramesh K. Sitaraman, Adam Wierman
From Creation to Curriculum: Examining the role of generative AI in Arts Universities
Atticus Sims (Faculty of Media Creation, Kyoto Seika University)
Deep Reinforcement Learning Based Systems for Safety Critical Applications in Aerospace
Abedin Sherifi
Navigating AI to Unpack Youth Privacy Concerns: An In-Depth Exploration and Systematic Review
Ajay Kumar Shrestha, Ankur Barthwal, Molly Campbell, Austin Shouli, Saad Syed, Sandhya Joshi, Julita Vassileva
Formal Mathematical Reasoning: A New Frontier in AI
Kaiyu Yang, Gabriel Poesia, Jingxuan He, Wenda Li, Kristin Lauter, Swarat Chaudhuri, Dawn Song
Trust Calibration in IDEs: Paving the Way for Widespread Adoption of AI Refactoring
Markus Borg
AI-in-the-loop: The future of biomedical visual analytics applications in the era of AI
Katja Bühler, Thomas Höllt, Thomas Schulz, Pere-Pau Vázquez
The Unreasonable Effectiveness of Open Science in AI: A Replication Study
Odd Erik Gundersen, Odd Cappelen, Martin Mølnå, Nicklas Grimstad Nilsen
Measuring Cross-Modal Interactions in Multimodal Models
Laura Wenderoth, Konstantin Hemker, Nikola Simidjievski, Mateja Jamnik