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
A Blockchain and Artificial Intelligence based System for Halal Food Traceability
Abdulla Alourani, Shahnawaz Khan
AI, Climate, and Regulation: From Data Centers to the AI Act
Kai Ebert, Nicolas Alder, Ralf Herbrich, Philipp Hacker
Bridging Today and the Future of Humanity: AI Safety in 2024 and Beyond
Shanshan Han
Do great minds think alike? Investigating Human-AI Complementarity in Question Answering with CAIMIRA
Maharshi Gor, Hal Daumé III, Tianyi Zhou, Jordan Boyd-Graber
O1 Replication Journey: A Strategic Progress Report -- Part 1
Yiwei Qin, Xuefeng Li, Haoyang Zou, Yixiu Liu, Shijie Xia, Zhen Huang, Yixin Ye, Weizhe Yuan, Hector Liu, Yuanzhi Li, Pengfei Liu
Towards AI-Native Software Engineering (SE 3.0): A Vision and a Challenge Roadmap
Ahmed E. Hassan, Gustavo A. Oliva, Dayi Lin, Boyuan Chen, Zhen Ming (Jack)Jiang
Neuropsychology of AI: Relationship Between Activation Proximity and Categorical Proximity Within Neural Categories of Synthetic Cognition
Michael Pichat, Enola Campoli, William Pogrund, Jourdan Wilson, Michael Veillet-Guillem, Anton Melkozerov, Paloma Pichat, Armanouche Gasparian, Samuel Demarchi, Judicael Poumay
Ethical Leadership in the Age of AI Challenges, Opportunities and Framework for Ethical Leadership
Udaya Chandrika Kandasamy
Underwater Object Detection in the Era of Artificial Intelligence: Current, Challenge, and Future
Long Chen, Yuzhi Huang, Junyu Dong, Qi Xu, Sam Kwong, Huimin Lu, Huchuan Lu, Chongyi Li
Tourism destination events classifier based on artificial intelligence techniques
Miguel Camacho-Ruiz, Ramón Alberto Carrasco, Gema Fernández-Avilés, Antonio LaTorre
AI in Archival Science -- A Systematic Review
Gaurav Shinde, Tiana Kirstein, Souvick Ghosh, Patricia C. Franks
The Role of Governments in Increasing Interconnected Post-Deployment Monitoring of AI
Merlin Stein, Jamie Bernardi, Connor Dunlop
A Review of Artificial Intelligence based Biological-Tree Construction: Priorities, Methods, Applications and Trends
Zelin Zang, Yongjie Xu, Chenrui Duan, Jinlin Wu, Stan Z. Li, Zhen Lei
From Transparency to Accountability and Back: A Discussion of Access and Evidence in AI Auditing
Sarah H. Cen, Rohan Alur
Application of AI in Credit Risk Scoring for Small Business Loans: A case study on how AI-based random forest model improves a Delphi model outcome in the case of Azerbaijani SMEs
Nigar Karimova
Code-Driven Law NO, Normware SI!
Giovanni Sileno
AI as Humanity's Salieri: Quantifying Linguistic Creativity of Language Models via Systematic Attribution of Machine Text against Web Text
Ximing Lu, Melanie Sclar, Skyler Hallinan, Niloofar Mireshghallah, Jiacheng Liu, Seungju Han, Allyson Ettinger, Liwei Jiang, Khyathi Chandu, Nouha Dziri, Yejin Choi
Assessing the Performance of Human-Capable LLMs -- Are LLMs Coming for Your Job?
John Mavi, Nathan Summers, Sergio Coronado