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
Autonomous LLM-driven research from data to human-verifiable research papers
Tal Ifargan, Lukas Hafner, Maor Kern, Ori Alcalay, Roy Kishony
Using Artificial Intelligence to Unlock Crowdfunding Success for Small Businesses
Teng Ye, Jingnan Zheng, Junhui Jin, Jingyi Qiu, Wei Ai, Qiaozhu Mei
Leveraging AI for Climate Resilience in Africa: Challenges, Opportunities, and the Need for Collaboration
Rendani Mbuvha, Yassine Yaakoubi, John Bagiliko, Santiago Hincapie Potes, Amal Nammouchi, Sabrina Amrouche
Artificial Intelligence for Multi-Unit Auction design
Peyman Khezr, Kendall Taylor
Hybrid LLM/Rule-based Approaches to Business Insights Generation from Structured Data
Aliaksei Vertsel, Mikhail Rumiantsau
The AI Companion in Education: Analyzing the Pedagogical Potential of ChatGPT in Computer Science and Engineering
Zhangying He, Thomas Nguyen, Tahereh Miari, Mehrdad Aliasgari, Setareh Rafatirad, Hossein Sayadi
Social Media and Artificial Intelligence for Sustainable Cities and Societies: A Water Quality Analysis Use-case
Muhammad Asif Auyb, Muhammad Tayyab Zamir, Imran Khan, Hannia Naseem, Nasir Ahmad, Kashif Ahmad
Instructors as Innovators: A future-focused approach to new AI learning opportunities, with prompts
Ethan Mollick, Lilach Mollick
AI Procurement Checklists: Revisiting Implementation in the Age of AI Governance
Tom Zick, Mason Kortz, David Eaves, Finale Doshi-Velez
AI and Machine Learning for Next Generation Science Assessments
Xiaoming Zhai
Towards Socially and Environmentally Responsible AI
Pengfei Li, Yejia Liu, Jianyi Yang, Shaolei Ren
Multiscale Causal Learning
Michael Timothy Bennett
Immersive Rover Control and Obstacle Detection based on Extended Reality and Artificial Intelligence
Sofía Coloma, Alexandre Frantz, Dave van der Meer, Ernest Skrzypczyk, Andrej Orsula, Miguel Olivares-Mendez
In the Shadow of Smith`s Invisible Hand: Risks to Economic Stability and Social Wellbeing in the Age of Intelligence
Jo-An Occhipinti, William Hynes, Ante Prodan, Harris A. Eyre, Roy Green, Sharan Burrow, Marcel Tanner, John Buchanan, Goran Ujdur, Frederic Destrebecq, Christine Song, Steven Carnevale, Ian B. Hickie, Mark Heffernan