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
Enhancing Multi-Criteria Decision Analysis with AI: Integrating Analytic Hierarchy Process and GPT-4 for Automated Decision Support
Igor Svoboda, Dmytro Lande
Leveraging AI to Advance Science and Computing Education across Africa: Challenges, Progress and Opportunities
George Boateng
Imagining a Future of Designing with AI: Dynamic Grounding, Constructive Negotiation, and Sustainable Motivation
Priyan Vaithilingam, Ian Arawjo, Elena L. Glassman
Gore Diffusion LoRA Model
Ayush Thakur, Ashwani Kumar Dubey
Le Nozze di Giustizia. Interactions between Artificial Intelligence, Law, Logic, Language and Computation with some case studies in Traffic Regulations and Health Care
Joost J. Joosten, Manuela Montoya García
Modelling Human Values for AI Reasoning
Nardine Osman, Mark d'Inverno
AI, Meet Human: Learning Paradigms for Hybrid Decision Making Systems
Clara Punzi, Roberto Pellungrini, Mattia Setzu, Fosca Giannotti, Dino Pedreschi
AI enhanced data assimilation and uncertainty quantification applied to Geological Carbon Storage
G. S. Seabra, N. T. Mücke, V. L. S. Silva, D. Voskov, F. Vossepoel
Scaling Artificial Intelligence for Digital Wargaming in Support of Decision-Making
Scotty Black, Christian Darken
Prompting Fairness: Artificial Intelligence as Game Players
Jazmia Henry
Deepfake Detection and the Impact of Limited Computing Capabilities
Paloma Cantero-Arjona, Alfonso Sánchez-Macián
Ai4Fapar: How artificial intelligence can help to forecast the seasonal earth observation signal
Filip Sabo, Martin Claverie, Michele Meroni, Arthur Hrast Essenfelder
Explainable AI for Safe and Trustworthy Autonomous Driving: A Systematic Review
Anton Kuznietsov, Balint Gyevnar, Cheng Wang, Steven Peters, Stefano V. Albrecht
Leveraging AI for Enhanced Software Effort Estimation: A Comprehensive Study and Framework Proposal
Nhi Tran, Tan Tran, Nam Nguyen
Private Knowledge Sharing in Distributed Learning: A Survey
Yasas Supeksala, Dinh C. Nguyen, Ming Ding, Thilina Ranbaduge, Calson Chua, Jun Zhang, Jun Li, H. Vincent Poor
On the Standardization of Behavioral Use Clauses and Their Adoption for Responsible Licensing of AI
Daniel McDuff, Tim Korjakow, Scott Cambo, Jesse Josua Benjamin, Jenny Lee, Yacine Jernite, Carlos Muñoz Ferrandis, Aaron Gokaslan, Alek Tarkowski, Joseph Lindley, A. Feder Cooper, Danish Contractor
Opening the AI black box: program synthesis via mechanistic interpretability
Eric J. Michaud, Isaac Liao, Vedang Lad, Ziming Liu, Anish Mudide, Chloe Loughridge, Zifan Carl Guo, Tara Rezaei Kheirkhah, Mateja Vukelić, Max Tegmark
What's documented in AI? Systematic Analysis of 32K AI Model Cards
Weixin Liang, Nazneen Rajani, Xinyu Yang, Ezinwanne Ozoani, Eric Wu, Yiqun Chen, Daniel Scott Smith, James Zou