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
Children's Mental Models of Generative Visual and Text Based AI Models
Eliza Kosoy, Soojin Jeong, Anoop Sinha, Alison Gopnik, Tanya Kraljic
Reducing Biases towards Minoritized Populations in Medical Curricular Content via Artificial Intelligence for Fairer Health Outcomes
Chiman Salavati, Shannon Song, Willmar Sosa Diaz, Scott A. Hale, Roberto E. Montenegro, Fabricio Murai, Shiri Dori-Hacohen
Studying Up Public Sector AI: How Networks of Power Relations Shape Agency Decisions Around AI Design and Use
Anna Kawakami, Amanda Coston, Hoda Heidari, Kenneth Holstein, Haiyi Zhu
Exploring Teachers' Perception of Artificial Intelligence: The Socio-emotional Deficiency as Opportunities and Challenges in Human-AI Complementarity in K-12 Education
Soon-young Oh, Yongsu Ahn
Can AI Relate: Testing Large Language Model Response for Mental Health Support
Saadia Gabriel, Isha Puri, Xuhai Xu, Matteo Malgaroli, Marzyeh Ghassemi
Towards a Framework for Openness in Foundation Models: Proceedings from the Columbia Convening on Openness in Artificial Intelligence
Adrien Basdevant, Camille François, Victor Storchan, Kevin Bankston, Ayah Bdeir, Brian Behlendorf, Merouane Debbah, Sayash Kapoor, Yann LeCun, Mark Surman, Helen King-Turvey, Nathan Lambert, Stefano Maffulli, Nik Marda, Govind Shivkumar, Justine Tunney
Generative Artificial Intelligence: A Systematic Review and Applications
Sandeep Singh Sengar, Affan Bin Hasan, Sanjay Kumar, Fiona Carroll
Application of Artificial Intelligence in Schizophrenia Rehabilitation Management: Systematic Literature Review
Hongyi Yang, Fangyuan Chang, Dian Zhu, Muroi Fumie, Zhao Liu
Training Compute Thresholds: Features and Functions in AI Regulation
Lennart Heim, Leonie Koessler
Contestable AI needs Computational Argumentation
Francesco Leofante, Hamed Ayoobi, Adam Dejl, Gabriel Freedman, Deniz Gorur, Junqi Jiang, Guilherme Paulino-Passos, Antonio Rago, Anna Rapberger, Fabrizio Russo, Xiang Yin, Dekai Zhang, Francesca Toni
A Systematic Review on Sleep Stage Classification and Sleep Disorder Detection Using Artificial Intelligence
Tayab Uddin Wara, Ababil Hossain Fahad, Adri Shankar Das, Md. Mehedi Hasan Shawon
From Sora What We Can See: A Survey of Text-to-Video Generation
Rui Sun, Yumin Zhang, Tejal Shah, Jiahao Sun, Shuoying Zhang, Wenqi Li, Haoran Duan, Bo Wei, Rajiv Ranjan
ChatGPT in Classrooms: Transforming Challenges into Opportunities in Education
Harris Bin Munawar, Nikolaos Misirlis
An Explanatory Model Steering System for Collaboration between Domain Experts and AI
Aditya Bhattacharya, Simone Stumpf, Katrien Verbert
Transcript of GPT-4 playing a rogue AGI in a Matrix Game
Lewis D Griffin, Nicholas Riggs
Reinforcement learning
Sarod Yatawatta
How Far Are We From AGI
Tao Feng, Chuanyang Jin, Jingyu Liu, Kunlun Zhu, Haoqin Tu, Zirui Cheng, Guanyu Lin, Jiaxuan You
Societal Adaptation to Advanced AI
Jamie Bernardi, Gabriel Mukobi, Hilary Greaves, Lennart Heim, Markus Anderljung