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
Responsible AI in Open Ecosystems: Reconciling Innovation with Risk Assessment and Disclosure
Mahasweta Chakraborti, Bert Joseph Prestoza, Nicholas Vincent, Seth Frey
KALE-LM: Unleash The Power Of AI For Science Via Knowledge And Logic Enhanced Large Model
Weichen Dai, Yezeng Chen, Zijie Dai, Zhijie Huang, Yubo Liu, Yixuan Pan, Baiyang Song, Chengli Zhong, Xinhe Li, Zeyu Wang, Zhuoying Feng, Yi Zhou
Effects of AI Feedback on Learning, the Skill Gap, and Intellectual Diversity
Christoph Riedl, Eric Bogert
Reducing Diversity to Generate Hierarchical Archetypes
Alfredo Ibias, Hector Antona, Guillem Ramirez-Miranda, Enric Guinovart, Eduard Alarcon
Intention-aware policy graphs: answering what, how, and why in opaque agents
Victor Gimenez-Abalos, Sergio Alvarez-Napagao, Adrian Tormos, Ulises Cortés, Javier Vázquez-Salceda
A Survey on Offensive AI Within Cybersecurity
Sahil Girhepuje, Aviral Verma, Gaurav Raina
Explaining Explaining
Sergei Nirenburg, Marjorie McShane, Kenneth W. Goodman, Sanjay Oruganti
Why Companies "Democratise" Artificial Intelligence: The Case of Open Source Software Donations
Cailean Osborne
Code Generation and Algorithmic Problem Solving Using Llama 3.1 405B
Aniket Deroy, Subhankar Maity
AI Enabled Neutron Flux Measurement and Virtual Calibration in Boiling Water Reactors
Anirudh Tunga, Jordan Heim, Michael Mueterthies, Thomas Gruenwald, Jonathan Nistor
The Technology of Outrage: Bias in Artificial Intelligence
Will Bridewell, Paul F. Bello, Selmer Bringsjord
Towards User-Focused Research in Training Data Attribution for Human-Centered Explainable AI
Elisa Nguyen, Johannes Bertram, Evgenii Kortukov, Jean Y. Song, Seong Joon Oh
Setting the AI Agenda -- Evidence from Sweden in the ChatGPT Era
Bastiaan Bruinsma, Annika Fredén, Kajsa Hansson, Moa Johansson, Pasko Kisić-Merino, Denitsa Saynova
New technologies and AI: envisioning future directions for UNSCR 1540
Clara Punzi
Ethical and Scalable Automation: A Governance and Compliance Framework for Business Applications
Haocheng Lin
Enhancing Guardrails for Safe and Secure Healthcare AI
Ananya Gangavarapu