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AAAI 2025

3,486 papers

Advancing Research on Equitable AI Education Through a Focus on Implementation: Insights from a Middle School Computer Vision Module Beta-Test

Christina A. Bosch, Mary Cate Gustafson-Quiett, Samar Abu Hegly, Sarah Wharton, John Masla

Understanding K-12 Teachers’ Needs for AI Education: A Survey-Based Study

Nazan Bautista, John Femiani, Daniela Inclezan

Designing Characters with AI: An Art & AI Learning Activity

Safinah Ali, Sara Jakubowicz, Ayat Abodayeh, Amaan Zubairi, Dalal Aldossary

“AlphAI”: Teaching AI Algorithms to K12 by Training Learning Robots and Visualizing How It Works

Marie Absalon, Thomas Deneux

Developing Chatbots for Sustainability: Experiential Learning in an Undergraduate Business Course

Dailin Zheng, Yu Chen, Yee Kit Chan, Erica Lai, Leslie J. Albert

Towards an AI Course Based on Neural Networks

Michael Wollowski

We Are AI: Taking Control of Technology

Julia Stoyanovich, Armanda Lewis, Eric Corbett, Lucius E.J. Bynum, Lucas Rosenblatt

Using Case Studies to Teach Responsible AI to Industry Practitioners

Julia Stoyanovich, Rodrigo Kreis de Paula, Armanda Lewis, Chloe Zheng

Comparing Artificial Intelligence Curricula in Canadian and US Universities

Rose Niousha, Lexie Jingruo Guo, Rick Kaifeng Li, Narges Norouzi, Lisa Zhang

Can LLMs Reliably Simulate Human Learner Actions? A Simulation Authoring Framework for Open-Ended Learning Environments

Amogh Mannekote, Adam Davies, Jina Kang, Kristy Elizabeth Boyer

Bridging the AI Gap: Evaluating the Impact of an AI Education Program for Caregivers on Parental Leave

Kristina L. Kupferschmidt, Flora Wan, Juan Carrasquilla Alvarez, Dora Gaviria Castaño, Graham W. Taylor

Human-Computer Interaction for AI Systems Design: Reflections on an Online Course on Human-AI Interaction for Professionals

Per Ola Kristensson, Emily Patterson

Using Explainable AI and Hierarchical Planning for Outreach with Robots

Rushang Karia, Jayesh Nagpal, Daksh Dobhal, Pulkit Verma, Rashmeet Kaur Nayyar

AI Toolkit: Libraries and Essays for Exploring the Technology and Ethics Behind AI

Levin Ho, Morgan McErlean, Zehua You, Douglas Blank, Lisa Meeden

Computational Thinking with Computer Vision: Developing AI Competency in an Introductory Computer Science Course

Tahiya Chowdhury

Automated Assessment of Student Self-Explanation in Code Comprehension Using Pre-Trained Language Models

Jeevan Chapagain, Vasile Rus

Artificial Intelligence for Future Presidents: Teaching AI Literacy to Everyone

Kate Candon, Nicholas C. Georgiou, Rebecca Ramnauth, Jessie Cheung, E. Chandra Fincke

Developing a Postgraduate Program for AI in Medicine with Kern’s Six-Step Curriculum Development Approach in Singapore

Chang Cai, Michelle Jong, Yih Yng Ng, Jo-Anne Elizabeth Manski-Nankervis, Kum Ying Tham

The Essentials of AI for Life and Society: An AI Literacy Course for the University Community

Joydeep Biswas, Don Fussell, Peter Stone, Kristin Patterson, Kristen Procko

Making Transparency Advocates: An Educational Approach Towards Better Algorithmic Transparency in Practice

Andrew Bell, Julia Stoyanovich

Exploring Iterative Enhancement for Improving Learnersourced Multiple-Choice Question Explanations with Large Language Models

Qiming Bao, Juho Leinonen, Alex Yuxuan Peng, Wanjun Zhong, Gaël Gendron

Lessons for Editors of AI Incidents from the AI Incident Database

Kevin Paeth, Daniel Atherton, Nikiforos Pittaras, Heather Frase, Sean McGregor

To Err Is AI: A Case Study Informing LLM Flaw Reporting Practices

Sean McGregor, Allyson Ettinger, Nick Judd, Paul Albee, Liwei Jiang

Evaluation and Incident Prevention in an Enterprise AI Assistant

Akash V. Maharaj, David Arbour, Daniel Lee, Uttaran Bhattacharya, Anup Rao

From Crayons to Code: AI-Driven Insights into a Child’s Mental Health Through Drawings

Moomal Farhad, Mohammad Mehedy Masud, Aisha Alnaqbi, Rawan Mubarak, Aaisha Aladawi

The POWER of Ikigai: Optimizing Life Fulfillment with an Integrated User Simulator and Adaptive Hobby Recommender

Ping Chen, Jonathan Leung, Yinan Zhang, Zhiqi Shen

Exploring the Efficacy of Multi-Agent Reinforcement Learning for Autonomous Cyber Defence: A CAGE Challenge 4 Perspective

Mitchell Kiely, Metin Ahiskali, Etienne Borde, Benjamin Bowman, David Bowman

BoolXAI: Explainable AI Using Expressive Boolean Formulas

Serdar Kadioglu, Elton Yechao Zhu, Gili Rosenberg, John Kyle Brubaker, Martin J. A. Schuetz

OnAIR: Applications of the NASA On-Board Artificial Intelligence Research Platform

Evana Gizzi, Timothy Chase Jr, Christian Cassamajor-Paul, Rachael Chertok, Lily Clough

Automating the Expansion of Instrument Typicals in Piping and Instrumentation Diagrams (P&IDs)

Vasil Shteriyanov, Rimma Dzhusupova, Jan Bosch, Helena Holmström Olsson

An Application-Agnostic Automatic Target Recognition System Using Vision Language Models

Anthony Palladino, Dana Gajewski, Abigail Aronica, Patryk Deptula, Alexander Hamme

SNAP: Semantic Stories for Next Activity Prediction

Alon Oved, Segev Shlomov, Sergey Zeltyn, Nir Mashkif, Avi Yaeli

ECLAIR: Enhanced Clarification for Interactive Responses

John Murzaku, Zifan Liu, Md Mehrab Tanjim, Vaishnavi Muppala, Xiang Chen

Hotspotter: A Generalizable Pipeline for Automated Detection of Subtle Volcanic Thermal Features in Satellite Images

Aditya Mohan, Andie Gomez-Patron, Matthew Pritchard, Hannah Kerner

Structured Document Generation for Industrial Equipment

Karol Lynch, Fabio Lorenzi, John D Sheehan, Duygu Kabakci-Zorlu, Bradley Eck

Optimizing Vital Sign Monitoring in Resource-Constrained Maternal Care: An RL-Based Restless Bandit Approach

Niclas Boehmer, Yunfan Zhao, GUOJUN XIONG, Paula Rodriguez-Diaz, Paola Del Cueto Cibrian

GCF: Estimating Unobserved Demand Using Graph Causal Forecasting

Sayantan Basu, Mohit Kumar, Sivaramakrishnan Kaveri

ScriptSmith: A Unified LLM Framework for Enhancing IT Operations via Automated Bash Script Generation, Assessment, and Refinement

Pooja Aggarwal, Oishik Chatterjee, Ting Dai, Suranjana Samanta, Prateeti Mohapatra

XCotton: Advancing AI-Enabled Hardware/Software Integrated System for Foreign Fiber Cleaning

Gaowei Zhang, Wei Wang, Yusheng Peng, Yi Wang

IMQC: A Large Language Model Platform for Medical Quality Control

Qi Ye, Guangya Yu, Jingping Liu, Erzhen Chen, Chenjie Dong

AI-Driven Virtual Teacher for Enhanced Educational Efficiency: Leveraging Large Pretrain Models for Autonomous Error Analysis and Correction

Tianlong Xu, Yifan Zhang, Zhendong Chu, Shen Wang, Qingsong Wen

A Deployed Online Reinforcement Learning Algorithm in an Oral Health Clinical Trial

Anna L. Trella, Kelly W. Zhang, Hinal Jajal, Inbal Nahum-Shani, Vivek Shetty

Adaptive Merchant-Centric Risk Control via Unbiased Decision-Making and Dynamic Optimization in E-Commerce

Xu Liu, Yiqiang Lu, Jian Liu, Tianyi Zhang, Weiqiang Wang

Knowledge Tagging with Large Language Model Based Multi-Agent System

Hang Li, Tianlong Xu, Ethan Chang, Qingsong Wen

Developing Generative Recommender Systems for Government Subsidy Pro-Grams with a New RQ-VAE Model: Wello & the Korean Government Case

Ji Won Kim, Jae Hong Park, Yuri Anna Kim, Sang Jun Lee

CVE-LLM: Ontology-Assisted Automatic Vulnerability Evaluation Using Large Language Models

Rikhiya Ghosh, Hans-Martin von Stockhausen, Martin Schmitt, George Marica Vasile, Sanjeev Kumar Karn

Semi-Markovian Planning to Coordinate Aerial and Maritime Medical Evacuation Platforms

Mahdi Al-Husseini, Kyle H. Wray, Mykel J. Kochenderfer

From Understanding Genetic Drift to a Smart-Restart Mechanism for Estimation-of-Distribution Algorithms (Journal Track)

Weijie Zheng, Benjamin Doerr

The AI Race: Why Current Neural Network-based Architectures are a Poor Basis for Artificial General Intelligence

Jérémie Sublime

A Domain-Independent Agent Architecture for Adaptive Operation in Evolving Open Worlds

Shiwali Mohan, Wiktor Piotrowski, Roni Stern, Sachin Grover, Sookyung Kim

Learning Logic Specifications for Policy Guidance in POMDPs: an Inductive Logic Programming Approach

Daniele Meli, Alberto Castellini, Alessandro Farinelli

Language-Models-as-a-Service: Overview of a New Paradigm and its Challenges

Emanuele La Malfa, Aleksandar Petrov, Simon Frieder, Christoph Weinhuber, Ryan Burnell

Integrating Symbolic Reasoning into Neural Generative Models for Design Generation

Maxwell Jacobson, Yexiang Xue

(1+1) Genetic Programming with Functionally Complete Instruction Sets Can Evolve Boolean Conjunctions and Disjunctions with Arbitrarily Small Error

Benjamin Doerr, Andrei Lissovoi, Pietro S. Oliveto

Scalable Vision-Language Understanding and Generation

Linchao Zhu

Scalable and Efficient Probabilistic Inference for Bayesian Deep Learning and Generative Modeling

Ruqi Zhang

Knowledge-driven Scientific Large Language Models

Qiang Zhang

Foundations of Multi-Agent Learning in Dynamic Environments: Where Reinforcement Learning Meets Strategic Decision-Making

Kaiqing Zhang

Compression-Aware Computing for Scalable and Sustainable AI

Zhaozhuo Xu

Towards Trustworthy Machine Learning Under Distribution Shifts

Jun Wu

Representation Learning: A Causal Perspective

Yixin Wang

Efficient and Robust Reinforcement Learning from Human Feedback

Huazheng Wang

Transforming Healthcare Decision Making Using Artificial Intelligence

Shengpu Tang

Scalable, Sustainable, Generalizable, and Responsible AI for Public Sector

Zheyuan Ryan Shi

Persuasion for Social Good: How to Build and Break AI

Weiyan Shi

Learning Language Structures Through Grounding

Freda Shi

Towards Robust, Efficient, and Practical Decision-Making: From Reward-Maximizing Deep Reinforcement Learning to Reward-Matching GFlowNets

Ling Pan

Bad AI, Good AI: Rethinking the Agency of Our Artificial Teammates

Reuth Mirsky

Axioms for AI Alignment from Human Feedback

Evi Micha

Robots Learning Through Physical Interactive Intelligence

Roberto Martín-Martín

Data Attribution: A Data-Centric Approach for Trustworthy AI Development

Jiaqi Ma

Harnessing Robust Statistics for Trustworthy AI

Xiaorui Liu

Learning Structured World Models From and For Physical Interactions

Yunzhu Li

Every Opinion Matters: Evaluating and Building Models with Pluralistic Views

Xiang Li

Scalable and Trustworthy Learning in Heterogeneous Networks

Tian Li

From Large Language Models to Large Action Models: Reasoning and Planning with Physical World Knowledge

Manling Li

Certified Trustworthiness in the Era of Large Language Models

Linyi Li

Mitigating Bias in Machine Learning: A Comprehensive Review and Novel Approaches

Mahdi Khalili

Advancements in AI for Reasoning with Complex Data

Vivek Gupta

Multisensory Machine Intelligence

Ruohan Gao

Adaptive Experimental Design to Accelerate Scientific Discovery and Engineering Design

Aryan Deshwal

Automated, Interpretable, and Scalable Scientific Machine Learning

Wuyang Chen

Breaking the Resource Monopoly from Industries: Sustainable and Reliable LLM Serving by Recycling Outdated and Resource-Constrained GPUs

Tianlong Chen

Open-World Multimodal Understanding and Generation with Efficiently Finetuned Foundation Models

Long Chen

Representation-driven Option Discovery in Reinforcement Learning

Marlos C. Machado

Leveraging Human Input to Enable Robust, Interactive, and Aligned AI Systems

Daniel S. Brown

AI Governance and Lessons Learned as an AI Policy Advisor in the United States Senate

Serena Booth

Realizing AI for Impact: Towards Participatory Human-AI Collaboration for Water Conservation and Reproductive Health

Elizabeth Bondi-Kelly

Efficient Robot Learning via Interaction with Humans

Erdem Bıyık

Deep Reinforcement Learning for Robotics: A Survey of Real-World Successes

Chen Tang, Ben Abbatematteo, Jiaheng Hu, Rohan Chandra, Roberto Martín-Martín

Things Machine Learning Models Know That They Don’t Know

Salvatore Ruggieri, Andrea Pugnana

What Do Machine Learning Researchers Mean by “Reproducible”?

Edward Raff, Michel Benaroch, Sagar Samtani, Andrew L. Farris

Why AI Is WEIRD and Shouldn't Be This Way: Towards AI for Everyone, with Everyone, by Everyone

Rada Mihalcea, Oana Ignat, Longju Bai, Angana Borah, Luis Chiruzzo

Learning Hierarchical Task Knowledge for Planning

Pat Langley

Enhancing Decision Making Through the Integration of Large Language Models and Operations Research Optimization

Segev Wasserkrug, Leonard Boussioux, Dick den Hertog, Farzaneh Mirzazadeh, Ş. İlker Birbil

Trustworthy AI Meets Educational Assessment: Challenges and Opportunities

Sheng Li

Embodied AI for Smart Robotic Cells in Manufacturing Applications

Satyandra K. Gupta

Incentives for Early Arrival

Dengji Zhao

A Vision for Reinventing Credible Elections with Artificial Intelligence

Biplav Srivastava

Back to the Future of Integrated Robot Systems

Mohan Sridharan