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
Beyond Algorithmic Fairness: A Guide to Develop and Deploy Ethical AI-Enabled Decision-Support Tools
Rosemarie Santa Gonzalez, Ryan Piansky, Sue M Bae, Justin Biddle, Daniel Molzahn
AI Suggestions Homogenize Writing Toward Western Styles and Diminish Cultural Nuances
Dhruv Agarwal, Mor Naaman, Aditya Vashistha
Towards Ethical Personal AI Applications: Practical Considerations for AI Assistants with Long-Term Memory
Eunhae Lee
A logical alarm for misaligned binary classifiers
Andrés Corrada-Emmanuel, Ilya Parker, Ramesh Bharadwaj
Spiers Memorial Lecture: How to do impactful research in artificial intelligence for chemistry and materials science
Austin Cheng, Cher Tian Ser, Marta Skreta, Andrés Guzmán-Cordero, Luca Thiede, Andreas Burger, Abdulrahman Aldossary, Shi Xuan Leong, Sergio Pablo-García, Felix Strieth-Kalthoff, Alán Aspuru-Guzik
A Comparative Study of Open Source Computer Vision Models for Application on Small Data: The Case of CFRP Tape Laying
Thomas Fraunholz, Dennis Rall, Tim Köhler, Alfons Schuster, Monika Mayer, Lars Larsen
Comprehensive Study on Sentiment Analysis: From Rule-based to modern LLM based system
Shailja Gupta, Rajesh Ranjan, Surya Narayan Singh
Securing the Future: Exploring Privacy Risks and Security Questions in Robotic Systems
Diba Afroze, Yazhou Tu, Xiali Hei
Computer Vision Intelligence Test Modeling and Generation: A Case Study on Smart OCR
Jing Shu, Bing-Jiun Miu, Eugene Chang, Jerry Gao, Jun Liu
Deep Learning Under Siege: Identifying Security Vulnerabilities and Risk Mitigation Strategies
Jamal Al-Karaki, Muhammad Al-Zafar Khan, Mostafa Mohamad, Dababrata Chowdhury
AI in Food Marketing from Personalized Recommendations to Predictive Analytics: Comparing Traditional Advertising Techniques with AI-Driven Strategies
Elham Khamoushi
Enhancing transparency in AI-powered customer engagement
Tara DeZao
AI Horizon Scanning, White Paper p3395, IEEE-SA. Part I: Areas of Attention
Marina Cortês, Andrew R. Liddle, Christos Emmanouilidis, Anthony E. Kelly, Ken Matusow, Ragu Ragunathan, Jayne M. Suess, George Tambouratzis, Janusz Zalewski, David A. Bray
Journalists, Emotions, and the Introduction of Generative AI Chatbots: A Large-Scale Analysis of Tweets Before and After the Launch of ChatGPT
Seth C. Lewis, David M. Markowitz, Jon Benedik Bunquin
Personalized Weight Loss Management through Wearable Devices and Artificial Intelligence
Sergio Romero-Tapiador, Ruben Tolosana, Aythami Morales, Blanca Lacruz-Pleguezuelos, Sofia Bosch Pastor, Laura Judith Marcos-Zambrano, Guadalupe X. Bazán, Gala Freixer, Ruben Vera-Rodriguez, Julian Fierrez, Javier Ortega-Garcia, Isabel Espinosa-Salinas, Enrique Carrillo de Santa Pau
Towards certifiable AI in aviation: landscape, challenges, and opportunities
Hymalai Bello, Daniel Geißler, Lala Ray, Stefan Müller-Divéky, Peter Müller, Shannon Kittrell, Mengxi Liu, Bo Zhou, Paul Lukowicz
TapToTab : Video-Based Guitar Tabs Generation using AI and Audio Analysis
Ali Ghaleb, Eslam ElSadawy, Ihab Essam, Mohamed Abdelhakim, Seif-Eldin Zaki, Natalie Fahim, Razan Bayoumi, Hanan Hindy