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
Implications for Governance in Public Perceptions of Societal-scale AI Risks
Ross Gruetzemacher, Toby D. Pilditch, Huigang Liang, Christy Manning, Vael Gates, David Moss, James W. B. Elsey, Willem W. A. Sleegers, Kyle Kilian
AI Cat Narrator: Designing an AI Tool for Exploring the Shared World and Social Connection with a Cat
Zhenchi Lai, Janet Yi-Ching Huang, Rung-Huei Liang
Beyond Trend Following: Deep Learning for Market Trend Prediction
Fernando Berzal, Alberto Garcia
Harnessing AI for efficient analysis of complex policy documents: a case study of Executive Order 14110
Mark A. Kramer, Allen Leavens, Alexander Scarlat
Can AI Beat Undergraduates in Entry-level Java Assignments? Benchmarking Large Language Models on JavaBench
Jialun Cao, Zhiyong Chen, Jiarong Wu, Shing-chi Cheung, Chang Xu
The Impact of AI on Academic Research and Publishing
Brady Lund, Manika Lamba, Sang Hoo Oh
Artificial Intelligence for Neuro MRI Acquisition: A Review
Hongjia Yang, Guanhua Wang, Ziyu Li, Haoxiang Li, Jialan Zheng, Yuxin Hu, Xiaozhi Cao, Congyu Liao, Huihui Ye, Qiyuan Tian
Development and Validation of a Deep-Learning Model for Differential Treatment Benefit Prediction for Adults with Major Depressive Disorder Deployed in the Artificial Intelligence in Depression Medication Enhancement (AIDME) Study
David Benrimoh, Caitrin Armstrong, Joseph Mehltretter, Robert Fratila, Kelly Perlman, Sonia Israel, Adam Kapelner, Sagar V. Parikh, Jordan F. Karp, Katherine Heller, Gustavo Turecki
Comprehensive AI Assessment Framework: Enhancing Educational Evaluation with Ethical AI Integration
Selçuk Kılınç
Transforming Dental Diagnostics with Artificial Intelligence: Advanced Integration of ChatGPT and Large Language Models for Patient Care
Masoumeh Farhadi Nia, Mohsen Ahmadi, Elyas Irankhah
The Reasonable Person Standard for AI
Sunayana Rane
Open-Endedness is Essential for Artificial Superhuman Intelligence
Edward Hughes, Michael Dennis, Jack Parker-Holder, Feryal Behbahani, Aditi Mavalankar, Yuge Shi, Tom Schaul, Tim Rocktaschel
Inspired by AI? A Novel Generative AI System To Assist Conceptual Automotive Design
Ye Wang, Nicole B. Damen, Thomas Gale, Voho Seo, Hooman Shayani
Promoting Fairness and Diversity in Speech Datasets for Mental Health and Neurological Disorders Research
Eleonora Mancini, Ana Tanevska, Andrea Galassi, Alessio Galatolo, Federico Ruggeri, Paolo Torroni