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
Extinction Risks from AI: Invisible to Science?
Vojtech Kovarik, Christian van Merwijk, Ida Mattsson
Developing and Evaluating a Design Method for Positive Artificial Intelligence
Willem van der Maden, Derek Lomas, Paul Hekkert
AI Code Generators for Security: Friend or Foe?
Roberto Natella, Pietro Liguori, Cristina Improta, Bojan Cukic, Domenico Cotroneo
Real Sparks of Artificial Intelligence and the Importance of Inner Interpretability
Alex Grzankowski
Large Scale Generative AI Text Applied to Sports and Music
Aaron Baughman, Stephen Hammer, Rahul Agarwal, Gozde Akay, Eduardo Morales, Tony Johnson, Leonid Karlinsky, Rogerio Feris
Weakly Supervised Learners for Correction of AI Errors with Provable Performance Guarantees
Ivan Y. Tyukin, Tatiana Tyukina, Daniel van Helden, Zedong Zheng, Evgeny M. Mirkes, Oliver J. Sutton, Qinghua Zhou, Alexander N. Gorban, Penelope Allison
Evaluating the Capabilities of LLMs for Supporting Anticipatory Impact Assessment
Mowafak Allaham, Nicholas Diakopoulos
Ontologia para monitorar a defici\^encia mental em seus d\'eficts no processamento da informa\c{c}\~ao por decl\'inio cognitivo e evitar agress\~oes psicol\'ogicas e f\'isicas em ambientes educacionais com ajuda da I.A*
Bruna Araújo de Castro Oliveira
Biospheric AI
Marcin Korecki
Integrating Generative AI in Hackathons: Opportunities, Challenges, and Educational Implications
Ramteja Sajja, Carlos Erazo Ramirez, Zhouyayan Li, Bekir Z. Demiray, Yusuf Sermet, Ibrahim Demir
Commercial AI, Conflict, and Moral Responsibility: A theoretical analysis and practical approach to the moral responsibilities associated with dual-use AI technology
Daniel Trusilo, David Danks
Trust and ethical considerations in a multi-modal, explainable AI-driven chatbot tutoring system: The case of collaboratively solving Rubik's Cube
Kausik Lakkaraju, Vedant Khandelwal, Biplav Srivastava, Forest Agostinelli, Hengtao Tang, Prathamjeet Singh, Dezhi Wu, Matt Irvin, Ashish Kundu
Systematically Assessing the Security Risks of AI/ML-enabled Connected Healthcare Systems
Mohammed Elnawawy, Mohammadreza Hallajiyan, Gargi Mitra, Shahrear Iqbal, Karthik Pattabiraman
Accelerated Cloud for Artificial Intelligence (ACAI)
Dachi Chen, Weitian Ding, Chen Liang, Chang Xu, Junwei Zhang, Majd Sakr
AI Oversight and Human Mistakes: Evidence from Centre Court
David Almog, Romain Gauriot, Lionel Page, Daniel Martin
Beyond Direct Diagnosis: LLM-based Multi-Specialist Agent Consultation for Automatic Diagnosis
Haochun Wang, Sendong Zhao, Zewen Qiang, Nuwa Xi, Bing Qin, Ting Liu
Fairness in Algorithmic Recourse Through the Lens of Substantive Equality of Opportunity
Andrew Bell, Joao Fonseca, Carlo Abrate, Francesco Bonchi, Julia Stoyanovich