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
Explainable AI Reloaded: Challenging the XAI Status Quo in the Era of Large Language Models
Upol Ehsan, Mark O. Riedl
Unleashing Artificial Cognition: Integrating Multiple AI Systems
Muntasir Adnan, Buddhi Gamage, Zhiwei Xu, Damith Herath, Carlos C. N. Kuhn
AI and Machine Learning Driven Indoor Localization and Navigation with Mobile Embedded Systems
Sudeep Pasricha
AI Consciousness and Public Perceptions: Four Futures
Ines Fernandez, Nicoleta Kyosovska, Jay Luong, Gabriel Mukobi
Misrepresented Technological Solutions in Imagined Futures: The Origins and Dangers of AI Hype in the Research Community
Savannah Thais
AI for operational methane emitter monitoring from space
Anna Vaughan, Gonzalo Mateo-Garcia, Itziar Irakulis-Loitxate, Marc Watine, Pablo Fernandez-Poblaciones, Richard E. Turner, James Requeima, Javier Gorroño, Cynthia Randles, Manfredi Caltagirone, Claudio Cifarelli
Deceptive uses of Artificial Intelligence in elections strengthen support for AI ban
Andreas Jungherr, Adrian Rauchfleisch, Alexander Wuttke
Enhancing Journalism with AI: A Study of Contextualized Image Captioning for News Articles using LLMs and LMMs
Aliki Anagnostopoulou, Thiago Gouvea, Daniel Sonntag
Development of REGAI: Rubric Enabled Generative Artificial Intelligence
Zach Johnson, Jeremy Straub
Artificial Intelligence for Public Health Surveillance in Africa: Applications and Opportunities
Jean Marie Tshimula, Mitterrand Kalengayi, Dieumerci Makenga, Dorcas Lilonge, Marius Asumani, Déborah Madiya, Élie Nkuba Kalonji, Hugues Kanda, René Manassé Galekwa, Josias Kumbu, Hardy Mikese, Grace Tshimula, Jean Tshibangu Muabila, Christian N. Mayemba, D'Jeff K. Nkashama, Kalonji Kalala, Steve Ataky, Tighana Wenge Basele, Mbuyi Mukendi Didier, Selain K. Kasereka, Maximilien V. Dialufuma, Godwill Ilunga Wa Kumwita, Lionel Muyuku, Jean-Paul Kimpesa, Dominique Muteba, Aaron Aruna Abedi, Lambert Mukendi Ntobo, Gloria M. Bundutidi, Désiré Kulimba Mashinda, Emmanuel Kabengele Mpinga, Nathanaël M. Kasoro
Strong and weak alignment of large language models with human values
Mehdi Khamassi, Marceau Nahon, Raja Chatila
On the consistent reasoning paradox of intelligence and optimal trust in AI: The power of 'I don't know'
Alexander Bastounis, Paolo Campodonico, Mihaela van der Schaar, Ben Adcock, Anders C. Hansen
Strategic AI adoption in SMEs: A Prescriptive Framework
Atif Hussain, Rana Rizwan
More Than Positive and Negative: Communicating Fine Granularity in Medical Diagnosis
Xiangyu Peng, Kai Wang, Jianfei Yang, Yingying Zhu, Yang You