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
On the Interplay of Artificial Intelligence and Space-Air-Ground Integrated Networks: A Survey
Adilya Bakambekova, Nour Kouzayha, Tareq Al-Naffouri
Evaluating if trust and personal information privacy concerns are barriers to using health insurance that explicitly utilizes AI
Alex Zarifis, Peter Kawalek, Aida Azadegan
Enhancing the Fairness and Performance of Edge Cameras with Explainable AI
Truong Thanh Hung Nguyen, Vo Thanh Khang Nguyen, Quoc Hung Cao, Van Binh Truong, Quoc Khanh Nguyen, Hung Cao
Should ChatGPT Write Your Breakup Text? Exploring the Role of AI in Relationship Dissolution
Yue Fu, Yixin Chen, Zelia Gomes Da Costa Lai, Alexis Hiniker
AI-as-exploration: Navigating intelligence space
Dimitri Coelho Mollo
Determining the Difficulties of Students With Dyslexia via Virtual Reality and Artificial Intelligence: An Exploratory Analysis
Enrique Yeguas-Bolívar, José M. Alcalde-Llergo, Pilar Aparicio-Martínez, Juri Taborri, Andrea Zingoni, Sara Pinzi
Do stable neural networks exist for classification problems? -- A new view on stability in AI
Z. N. D. Liu, A. C. Hansen
Phenotyping calcification in vascular tissues using artificial intelligence
Mehdi Ramezanpour, Anne M. Robertson, Yasutaka Tobe, Xiaowei Jia, Juan R. Cebral
Killer Apps: Low-Speed, Large-Scale AI Weapons
Philip Feldman, Aaron Dant, James R. Foulds
Generative Ghosts: Anticipating Benefits and Risks of AI Afterlives
Meredith Ringel Morris, Jed R. Brubaker
Enabling Collaborative Clinical Diagnosis of Infectious Keratitis by Integrating Expert Knowledge and Interpretable Data-driven Intelligence
Zhengqing Fang, Shuowen Zhou, Zhouhang Yuan, Yuxuan Si, Mengze Li, Jinxu Li, Yesheng Xu, Wenjia Xie, Kun Kuang, Yingming Li, Fei Wu, Yu-Feng Yao