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
Nepotistically Trained Generative-AI Models Collapse
Matyas Bohacek, Hany Farid
Beyond Boundaries: A Comprehensive Survey of Transferable Attacks on AI Systems
Guangjing Wang, Ce Zhou, Yuanda Wang, Bocheng Chen, Hanqing Guo, Qiben Yan
Responsible AI Research Needs Impact Statements Too
Alexandra Olteanu, Michael Ekstrand, Carlos Castillo, Jina Suh
Evaluating the Inclusiveness of Artificial Intelligence Software in Enhancing Project Management Efficiency -- A Review
Vasileios Alevizos, Ilias Georgousis, Akebu Simasiku, Sotiria Karypidou, Antonis Messinis
Journey of Hallucination-minimized Generative AI Solutions for Financial Decision Makers
Sohini Roychowdhury
Artificial Intelligence in Sustainable Vertical Farming
Hribhu Chowdhury, Debo Brata Paul Argha, Md Ashik Ahmed
Artificial Intelligence in Fetal Resting-State Functional MRI Brain Segmentation: A Comparative Analysis of 3D UNet, VNet, and HighRes-Net Models
Farzan Vahedifard, Xuchu Liu, Mehmet Kocak, H. Asher Ai, Mark Supanich, Christopher Sica., Kranthi K Marathu, Seth Adler, Maysam Orouskhani, Sharon Byrd
Classification-based detection and quantification of cross-domain data bias in materials discovery
Giovanni Trezza, Eliodoro Chiavazzo
Towards Autonomous Hypothesis Verification via Language Models with Minimal Guidance
Shiro Takagi, Ryutaro Yamauchi, Wataru Kumagai
Now and Future of Artificial Intelligence-based Signet Ring Cell Diagnosis: A Survey
Zhu Meng, Junhao Dong, Limei Guo, Fei Su, Guangxi Wang, Zhicheng Zhao
MacGyver: Are Large Language Models Creative Problem Solvers?
Yufei Tian, Abhilasha Ravichander, Lianhui Qin, Ronan Le Bras, Raja Marjieh, Nanyun Peng, Yejin Choi, Thomas L. Griffiths, Faeze Brahman
HAL 9000: Skynet's Risk Manager
Tadeu Freitas, Mário Neto, Inês Dutra, João Soares, Manuel Correia, Rolando Martins
Leveraging AI for Natural Disaster Management : Takeaways From The Moroccan Earthquake
Morocco Solidarity Hackathon
Safety, Trust, and Ethics Considerations for Human-AI Teaming in Aerospace Control
Kerianne L. Hobbs, Bernard Li
Optimizing IaC Configurations: a Case Study Using Nature-inspired Computing
Eneko Osaba, Gorka Benguria, Jesus L. Lobo, Josu Diaz-de-Arcaya, Juncal Alonso, Iñaki Etxaniz
Artificial General Intelligence, Existential Risk, and Human Risk Perception
David R. Mandel