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
Learning to Complement and to Defer to Multiple Users
Zheng Zhang, Wenjie Ai, Kevin Wells, David Rosewarne, Thanh-Toan Do, Gustavo Carneiro
Aligning Cyber Space with Physical World: A Comprehensive Survey on Embodied AI
Yang Liu, Weixing Chen, Yongjie Bai, Guanbin Li, Wen Gao, Liang Lin
AI AI Bias: Large Language Models Favor Their Own Generated Content
Walter Laurito, Benjamin Davis, Peli Grietzer, Tomáš Gavenčiak, Ada Böhm, Jan Kulveit
Evaluating Human-AI Collaboration: A Review and Methodological Framework
George Fragiadakis, Christos Diou, George Kousiouris, Mara Nikolaidou
It Cannot Be Right If It Was Written by AI: On Lawyers' Preferences of Documents Perceived as Authored by an LLM vs a Human
Jakub Harasta, Tereza Novotná, Jaromir Savelka
Collaborative Design of AI-Enhanced Learning Activities
Margarida Romero
Teacher agency in the age of generative AI: towards a framework of hybrid intelligence for learning design
Thomas B Frøsig, Margarida Romero
Muzzle-Based Cattle Identification System Using Artificial Intelligence (AI)
Hasan Zohirul Islam, Safayet Khan, Sanjib Kumar Paul, Sheikh Imtiaz Rahi, Fahim Hossain Sifat, Md. Mahadi Hasan Sany, Md. Shahjahan Ali Sarker, Tareq Anam, Ismail Hossain Polas
AI as a Tool for Fair Journalism: Case Studies from Malta
Dylan Seychell, Gabriel Hili, Jonathan Attard, Konstantinos Makantatis
Fostering Trust and Quantifying Value of AI and ML
Dalmo Cirne, Veena Calambur
Integrating AI in College Education: Positive yet Mixed Experiences with ChatGPT
Xinrui Song, Jiajin Zhang, Pingkun Yan, Juergen Hahn, Uwe Kruger, Hisham Mohamed, Ge Wang
Automating Urban Soundscape Enhancements with AI: In-situ Assessment of Quality and Restorativeness in Traffic-Exposed Residential Areas
Bhan Lam, Zhen-Ting Ong, Kenneth Ooi, Wen-Hui Ong, Trevor Wong, Karn N. Watcharasupat, Vanessa Boey, Irene Lee, Joo Young Hong, Jian Kang, Kar Fye Alvin Lee, Georgios Christopoulos, Woon-Seng Gan
A Review of AI and Machine Learning Contribution in Predictive Business Process Management (Process Enhancement and Process Improvement Approaches)
Mostafa Abbasi, Rahnuma Islam Nishat, Corey Bond, John Brandon Graham-Knight, Patricia Lasserre, Yves Lucet, Homayoun Najjaran
Research on the Acoustic Emission Source Localization Methodology in Composite Materials based on Artificial Intelligence
Jongick Won, Hyuntaik Oh, Jae Sakong
Auditing of AI: Legal, Ethical and Technical Approaches
Jakob Mokander
AI and Social Theory
Jakob Mokander, Ralph Schroeder
The Switch, the Ladder, and the Matrix: Models for Classifying AI Systems
Jakob Mokander, Margi Sheth, David Watson, Luciano Floridi
Challenges and Best Practices in Corporate AI Governance:Lessons from the Biopharmaceutical Industry
Jakob Mökander, Margi Sheth, Mimmi Gersbro-Sundler, Peder Blomgren, Luciano Floridi
Artificial intelligence, rationalization, and the limits of control in the public sector: the case of tax policy optimization
Jakob Mokander, Ralph Schroeder