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
Let people fail! Exploring the influence of explainable virtual and robotic agents in learning-by-doing tasks
Marco Matarese, Francesco Rea, Katharina J. Rohlfing, Alessandra Sciutti
Explainable Artificial Intelligence for Medical Applications: A Review
Qiyang Sun, Alican Akman, Björn W. Schuller
AI and the Future of Work in Africa White Paper
Jacki O'Neill, Vukosi Marivate, Barbara Glover, Winnie Karanu, Girmaw Abebe Tadesse, Akua Gyekye, Anne Makena, Wesley Rosslyn-Smith, Matthew Grollnek, Charity Wayua, Rehema Baguma, Angel Maduke, Sarah Spencer, Daniel Kandie, Dennis Ndege Maari, Natasha Mutangana, Maxamed Axmed, Nyambura Kamau, Muhammad Adamu, Frank Swaniker, Brian Gatuguti, Jonathan Donner, Mark Graham, Janet Mumo, Caroline Mbindyo, Charlette N'Guessan, Irene Githinji, Lesego Makhafola, Sean Kruger, Olivia Etyang, Mulang Onando, Joe Sevilla, Nanjira Sambuli, Martin Mbaya, Paul Breloff, Gideon M. Anapey, Tebogo L. Mogaleemang, Tiyani Nghonyama, Muthoni Wanyoike, Bhekani Mbuli, Lawrence Nderu, Wambui Nyabero, Uzma Alam, Kayode Olaleye, Caroline Njenga, Abigail Sellen, David Kairo, Rutendo Chabikwa, Najeeb G. Abdulhamid, Ketry Kubasu, Chinasa T. Okolo, Eugenia Akpo, Joel Budu, Issa Karambal, Joseph Berkoh, William Wasswa, Muchai Njagwi, Rob Burnet, Loise Ochanda, Hanlie de Bod, Elizabeth Ankrah, Selemani Kinyunyu, Mutembei Kariuki, Angel Maduke, Kizito Kiyimba, Farida Eleshin, Lillian Secelela Madeje, Catherine Muraga, Ida Nganga, Judy Gichoya, Tabbz Maina, Samuel Maina, Muchai Mercy, Millicent Ochieng, Stephanie Nyairo et al. (26 additional authors not shown) You must enabled JavaScript to view entire author list.
That Chip Has Sailed: A Critique of Unfounded Skepticism Around AI for Chip Design
Anna Goldie, Azalia Mirhoseini, Jeff Dean
Jal Anveshak: Prediction of fishing zones using fine-tuned LlaMa 2
Arnav Mejari, Maitreya Vaghulade, Paarshva Chitaliya, Arya Telang, Lynette D'mello
Establishing and Evaluating Trustworthy AI: Overview and Research Challenges
Dominik Kowald, Sebastian Scher, Viktoria Pammer-Schindler, Peter Müllner, Kerstin Waxnegger, Lea Demelius, Angela Fessl, Maximilian Toller, Inti Gabriel Mendoza Estrada, Ilija Simic, Vedran Sabol, Andreas Truegler, Eduardo Veas, Roman Kern, Tomislav Nad, Simone Kopeinik
Programming with AI: Evaluating ChatGPT, Gemini, AlphaCode, and GitHub Copilot for Programmers
Md Kamrul Siam, Huanying Gu, Jerry Q. Cheng
Gazing at Rewards: Eye Movements as a Lens into Human and AI Decision-Making in Hybrid Visual Foraging
Bo Wang, Dingwei Tan, Yen-Ling Kuo, Zhaowei Sun, Jeremy M. Wolfe, Tat-Jen Cham, Mengmi Zhang
Artificial Theory of Mind and Self-Guided Social Organisation
Michael S. Harré, Jaime Ruiz-Serra, Catherine Drysdale
Artificial Intelligence for Infectious Disease Prediction and Prevention: A Comprehensive Review
Selestine Melchane, Youssef Elmir, Farid Kacimi, Larbi Boubchir
Provocation: Who benefits from "inclusion" in Generative AI?
Nari Johnson, Siobhan Mackenzie Hall, Samantha Dalal
The Systems Engineering Approach in Times of Large Language Models
Christian Cabrera, Viviana Bastidas, Jennifer Schooling, Neil D. Lawrence
Reliability, Resilience and Human Factors Engineering for Trustworthy AI Systems
Saurabh Mishra, Anand Rao, Ramayya Krishnan, Bilal Ayyub, Amin Aria, Enrico Zio
An Empirical Examination of the Evaluative AI Framework
Jaroslaw Kornowicz
Enhanced Classroom Dialogue Sequences Analysis with a Hybrid AI Agent: Merging Expert Rule-Base with Large Language Models
Yun Long, Yu Zhang
A Social Outcomes and Priorities centered (SOP) Framework for AI policy
Mohak Shah
Training Data for Large Language Model
Yiming Ju, Huanhuan Ma
World Models: The Safety Perspective
Zifan Zeng, Chongzhe Zhang, Feng Liu, Joseph Sifakis, Qunli Zhang, Shiming Liu, Peng Wang
AI enhanced diagnosis of Peyronies disease a novel approach using Computer Vision
Yudara Kularathne, Janitha Prathapa, Prarththanan Sothyrajah, Salomi Arasaratnam, Sithira Ambepitiya, Thanveer Ahamed, Dinuka Wijesundara
Artificial Intelligence for Biomedical Video Generation
Linyuan Li, Jianing Qiu, Anujit Saha, Lin Li, Poyuan Li, Mengxian He, Ziyu Guo, Wu Yuan