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
AI for Extreme Event Modeling and Understanding: Methodologies and Challenges
Gustau Camps-Valls, Miguel-Ángel Fernández-Torres, Kai-Hendrik Cohrs, Adrian Höhl, Andrea Castelletti, Aytac Pacal, Claire Robin, Francesco Martinuzzi, Ioannis Papoutsis, Ioannis Prapas, Jorge Pérez-Aracil, Katja Weigel, Maria Gonzalez-Calabuig, Markus Reichstein, Martin Rabel, Matteo Giuliani, Miguel Mahecha, Oana-Iuliana Popescu, Oscar J. Pellicer-Valero, Said Ouala, Sancho Salcedo-Sanz, Sebastian Sippel, Spyros Kondylatos, Tamara Happé, Tristan Williams
ROS-LLM: A ROS framework for embodied AI with task feedback and structured reasoning
Christopher E. Mower, Yuhui Wan, Hongzhan Yu, Antoine Grosnit, Jonas Gonzalez-Billandon, Matthieu Zimmer, Jinlong Wang, Xinyu Zhang, Yao Zhao, Anbang Zhai, Puze Liu, Daniel Palenicek, Davide Tateo, Cesar Cadena, Marco Hutter, Jan Peters, Guangjian Tian, Yuzheng Zhuang, Kun Shao, Xingyue Quan, Jianye Hao, Jun Wang, Haitham Bou-Ammar
A Survey on Failure Analysis and Fault Injection in AI Systems
Guangba Yu, Gou Tan, Haojia Huang, Zhenyu Zhang, Pengfei Chen, Roberto Natella, Zibin Zheng
"My Kind of Woman": Analysing Gender Stereotypes in AI through The Averageness Theory and EU Law
Miriam Doh, and Anastasia Karagianni
AI Data Readiness Inspector (AIDRIN) for Quantitative Assessment of Data Readiness for AI
Kaveen Hiniduma, Suren Byna, Jean Luca Bez, Ravi Madduri
Fairness and Bias in Multimodal AI: A Survey
Tosin Adewumi, Lama Alkhaled, Namrata Gurung, Goya van Boven, Irene Pagliai
Reasoning About Action and Change
Florence Dupin de Saint-Cyr, Andreas Herzig, Jérôme Lang, Pierre Marquis
The Rise of Artificial Intelligence in Educational Measurement: Opportunities and Ethical Challenges
Okan Bulut, Maggie Beiting-Parrish, Jodi M. Casabianca, Sharon C. Slater, Hong Jiao, Dan Song, Christopher M. Ormerod, Deborah Gbemisola Fabiyi, Rodica Ivan, Cole Walsh, Oscar Rios, Joshua Wilson, Seyma N. Yildirim-Erbasli, Tarid Wongvorachan, Joyce Xinle Liu, Bin Tan, Polina Morilova
Building Understandable Messaging for Policy and Evidence Review (BUMPER) with AI
Katherine A. Rosenfeld, Maike Sonnewald, Sonia J. Jindal, Kevin A. McCarthy, Joshua L. Proctor
From Majority to Minority: A Diffusion-based Augmentation for Underrepresented Groups in Skin Lesion Analysis
Janet Wang, Yunsung Chung, Zhengming Ding, Jihun Hamm
AI Alignment through Reinforcement Learning from Human Feedback? Contradictions and Limitations
Adam Dahlgren Lindström, Leila Methnani, Lea Krause, Petter Ericson, Íñigo Martínez de Rituerto de Troya, Dimitri Coelho Mollo, Roel Dobbe
Detecting Machine-Generated Texts: Not Just "AI vs Humans" and Explainability is Complicated
Jiazhou Ji, Ruizhe Li, Shujun Li, Jie Guo, Weidong Qiu, Zheng Huang, Chiyu Chen, Xiaoyu Jiang, Xinru Lu
Games of Knightian Uncertainty as AGI testbeds
Spyridon Samothrakis, Dennis J. N. J. Soemers, Damian Machlanski
Documentation Practices of Artificial Intelligence
Stefan Arnold, Dilara Yesilbas, Rene Gröbner, Dominik Riedelbauch, Maik Horn, Sven Weinzierl
Innovating for Tomorrow: The Convergence of SE and Green AI
Luís Cruz, Xavier Franch Gutierrez, Silverio Martínez-Fernández
A Moonshot for AI Oracles in the Sciences
Bryan Kaiser, Tailin Wu, Maike Sonnewald, Colin Thackray, Skylar Callis
ELIZA Reinterpreted: The world's first chatbot was not intended as a chatbot at all
Jeff Shrager
AI for the prediction of early stages of Alzheimer's disease from neuroimaging biomarkers -- A narrative review of a growing field
Thorsten Rudroff, Oona Rainio, Riku Klén
Scalable Artificial Intelligence for Science: Perspectives, Methods and Exemplars
Wesley Brewer, Aditya Kashi, Sajal Dash, Aristeidis Tsaris, Junqi Yin, Mallikarjun Shankar, Feiyi Wang
Enabling more efficient and cost-effective AI/ML systems with Collective Mind, virtualized MLOps, MLPerf, Collective Knowledge Playground and reproducible optimization tournaments
Grigori Fursin