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
Seeing Like an AI: How LLMs Apply (and Misapply) Wikipedia Neutrality Norms
Joshua Ashkinaze, Ruijia Guan, Laura Kurek, Eytan Adar, Ceren Budak, Eric Gilbert
Artificial Intelligence and Algorithmic Price Collusion in Two-sided Markets
Cristian Chica, Yinglong Guo, Gilad Lerman
AI in Remote Patient Monitoring
Nishargo Nigar
Psychology of Artificial Intelligence: Epistemological Markers of the Cognitive Analysis of Neural Networks
Michael Pichat
Over the Edge of Chaos? Excess Complexity as a Roadblock to Artificial General Intelligence
Teo Susnjak, Timothy R. McIntosh, Andre L. C. Barczak, Napoleon H. Reyes, Tong Liu, Paul Watters, Malka N. Halgamuge
Towards Asimov's Psychohistory: Harnessing Topological Data Analysis, Artificial Intelligence and Social Media data to Forecast Societal Trends
Isabela Rocha
A Framework for AI assisted Musical Devices
Miguel Civit, Luis Munoz Saavedra, Francisco Jose Cuadrado, Charles Tijus, Maria J. Escalona
Advanced Smart City Monitoring: Real-Time Identification of Indian Citizen Attributes
Shubham Kale, Shashank Sharma, Abhilash Khuntia
A Formal Model for Artificial Intelligence Applications in Automation Systems
Marvin Schieseck, Philip Topalis, Lasse Reinpold, Felix Gehlhoff, Alexander Fay
Collective Attention in Human-AI Teams
Josie Zvelebilova, Saiph Savage, Christoph Riedl
Artificial intelligence and machine learning generated conjectures with TxGraffiti
Randy Davila
Improving Steering and Verification in AI-Assisted Data Analysis with Interactive Task Decomposition
Majeed Kazemitabaar, Jack Williams, Ian Drosos, Tovi Grossman, Austin Henley, Carina Negreanu, Advait Sarkar
Decentralized Intelligence Network (DIN)
Abraham Nash
Strategic Demand-Planning in Wireless Networks: Can Generative-AI Save Spectrum and Energy?
Berk Çiloğlu, Görkem Berkay Koç, Afsoon Alidadi Shamsabadi, Metin Ozturk, Halim Yanikomeroglu
MARLIN: A Cloud Integrated Robotic Solution to Support Intralogistics in Retail
Dennis Mronga, Andreas Bresser, Fabian Maas, Adrian Danzglock, Simon Stelter, Alina Hawkin, Hoang Giang Nguyen, Michael Beetz, Frank Kirchner
Predicting Trust Dynamics with Dynamic SEM in Human-AI Cooperation
Sota Kaneko, Seiji Yamada
A Collaborative, Human-Centred Taxonomy of AI, Algorithmic, and Automation Harms
Gavin Abercrombie, Djalel Benbouzid, Paolo Giudici, Delaram Golpayegani, Julio Hernandez, Pierre Noro, Harshvardhan Pandit, Eva Paraschou, Charlie Pownall, Jyoti Prajapati, Mark A. Sayre, Ushnish Sengupta, Arthit Suriyawongkul, Ruby Thelot, Sofia Vei, Laura Waltersdorfer
Large Language Model Enhanced Knowledge Representation Learning: A Survey
Xin Wang, Zirui Chen, Haofen Wang, Leong Hou U, Zhao Li, Wenbin Guo