AAAI

EchoLeak: The First Real-World Zero-Click Prompt Injection Exploit in a Production LLM System

Pavan Reddy, Aditya Sanjay Gujral

Comments 8 pages content, 1 page references, 2 figures, Published at AAAI Fall Symposium Series 2025

The Role of Follow Networks and Twitter's Content Recommender on Partisan Skew and Rumor Exposure during the 2022 U.S. Midterm Election

Kayla Duskin, Joseph S. Schafer, Alexandros Efstratiou, Jevin D. West, Emma S. Spiro

Comments Accepted at the AAAI International Conference on Web and Social Media (ICWSM) 2026

Generalized Zero-Shot Learning for Point Cloud Segmentation with Evidence-Based Dynamic Calibration

Hyeonseok Kim, Byeongkeun Kang, Yeejin Lee

Comments 20 pages, 12 figures, AAAI 2025

Journal ref Proceedings of the AAAI Conference on Artificial Intelligence, 39(4), 4248-4256 (2025)

OmniAcc: Personalized Accessibility Assistant Using Generative AI

Siddhant Karki, Ethan Han, Nadim Mahmud, Suman Bhunia, John Femiani, Vaskar Raychoudhury

机构 * Miami University of Ohio（俄亥俄迈阿密大学） 纠错

Comments 11 Pages, 9 Figures, Published in the 1st Workshop on AI for Urban Planning, AAAI 2025 Workshop

No Thoughts Just AI: Biased LLM Hiring Recommendations Alter Human Decision Making and Limit Human Autonomy

Kyra Wilson, Mattea Sim, Anna-Maria Gueorguieva, Aylin Caliskan

机构 * Kyra Wilson（1 Kyra Wilson） ； Mattea Sim（2 Mattea Sim） 纠错

Comments Published in Proceedings of the 2025 AAAI/ACM Conference on AI, Ethics, and Society; code available at https://github.com/kyrawilson/No-Thoughts-Just-AI

Defending From Physically-Realizable Adversarial Attacks Through Internal Over-Activation Analysis

Giulio Rossolini, Federico Nesti, Fabio Brau, Alessandro Biondi, Giorgio Buttazzo

Journal ref Proceedings of the Thirty-Seventh AAAI Conference, AAAI 2023

Preventing Another Tessa: Modular Safety Middleware For Health-Adjacent AI Assistants

Pavan Reddy, Nithin Reddy

Comments 7 pages content, 1 page reference, 1 figure, Accepted at AAAI Fall Symposium Series

Quality-Diversity Generative Sampling for Learning with Synthetic Data

Allen Chang, Matthew C. Fontaine, Serena Booth, Maja J. Matarić, Stefanos Nikolaidis

机构 * Serena Booth（2 塞雷娜·布思） 纠错

Comments Accepted at AAAI 2024; 7 pages main, 12 pages total, 9 figures

Towards Personalized Explanations for Health Simulations: A Mixed-Methods Framework for Stakeholder-Centric Summarization

Philippe J. Giabbanelli, Ameeta Agrawal

Comments Accepted at the AAAI 2025 Fall Symposium Series. November 6-8, 2025, Arlington, VA, USA

In-Context Policy Adaptation via Cross-Domain Skill Diffusion

Minjong Yoo, Woo Kyung Kim, Honguk Woo

Comments 9 pages

Journal ref Proceedings of the AAAI Conference on Artificial Intelligence, 2025

Meta-Inverse Reinforcement Learning for Mean Field Games via Probabilistic Context Variables

Yang Chen, Xiao Lin, Bo Yan, Libo Zhang, Jiamou Liu, Neset Özkan Tan, Michael Witbrock

Comments Accepted to AAAI 2024

When the Past Misleads: Rethinking Training Data Expansion Under Temporal Distribution Shifts

Chengyuan Yao, Yunxuan Tang, Christopher Brooks, Rene F. Kizilcec, Renzhe Yu

Comments Accepted by the Eighth AAAI/ACM Conference on AI, Ethics, and Society (AIES 2025)

Street-Level AI: Are Large Language Models Ready for Real-World Judgments?

Gaurab Pokharel, Shafkat Farabi, Patrick J. Fowler, Sanmay Das

Comments This work has been accepted for publication as a full paper at the AAAI/ACM Conference on AI, Ethics, and Society (AIES 2025)

Accountability Framework for Healthcare AI Systems: Towards Joint Accountability in Decision Making

Prachi Bagave, Marcus Westberg, Marijn Janssen, Aaron Yi Ding

Comments To be published in AAAI AIES 2025

Rashomon in the Streets: Explanation Ambiguity in Scene Understanding

Helge Spieker, Jørn Eirik Betten, Arnaud Gotlieb, Nadjib Lazaar, Nassim Belmecheri

Comments AAAI 2025 Fall Symposium: AI Trustworthiness and Risk Assessment for Challenged Contexts (ATRACC)

Who Owns The Robot?: Four Ethical and Socio-technical Questions about Wellbeing Robots in the Real World through Community Engagement

Minja Axelsson, Jiaee Cheong, Rune Nyrup, Hatice Gunes

机构 * University of Cambridge（剑桥大学） ； Aarhus University（欧登堡大学） ； Harvard University（哈佛大学） 纠错

Comments Accepted at the 8th AAAI/ACM Conference on AI, Ethics, and Society. 23 pages, 1 figure

Chatbot Deployment Considerations for Application-Agnostic Human-Machine Dialogues

Pablo Rivas, Chelsi Chelsi, Nishit Nishit, Laharika Ravula

Comments The Third Workshop on Reasoning and Learning for Human-Machine Dialogues at the Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI-20)

BloomScene: Lightweight Structured 3D Gaussian Splatting for Crossmodal Scene Generation

Xiaolu Hou, Mingcheng Li, Dingkang Yang, Jiawei Chen, Ziyun Qian, Xiao Zhao, Yue Jiang, Jinjie Wei, Qingyao Xu, Lihua Zhang

Comments Accepted by AAAI 2025. Code: https://github.com/SparklingH/BloomScene

An Information-Flow Perspective on Algorithmic Fairness

Samuel Teuber, Bernhard Beckert

Comments 15 pages; extended version of paper at AAAI 2024; latest version includes corrigendum (see page 10)

SMARTe-VR: Student Monitoring and Adaptive Response Technology for e-Learning in Virtual Reality

Roberto Daza, Lin Shengkai, Aythami Morales, Julian Fierrez, Katashi Nagao

机构 * BiDA Lab（BiDA实验室） ； Universidad Autonoma de Madrid（马德里自治大学） ； Nagao Laboratory（Nagao实验室） ； Nagoya University（名古屋大学） 纠错

Comments 10 pages, 3 figures. Published in ACM Intl. Conf. on Multimedia Workshops (ACM MM Workshops 2025, I2M-MM 25). Also presented at IEEE/CVF Conf. on Computer Vision and Pattern Recognition Workshops (CVPRW) and AAAI Workshop on Artificial Intelligence for Education (AI4EDU)

Uncertainty Under the Curve: A Sequence-Level Entropy Area Metric for Reasoning LLM

Yongfu Zhu, Lin Sun, Guangxiang Zhao, Weihong Lin, Xiangzheng Zhang

Comments Under review for AAAI 2026

RelAItionship Building: Analyzing Recruitment Strategies for Participatory AI

Eugene Kim, Vaibhav Balloli, Berelian Karimian, Elizabeth Bondi-Kelly, Benjamin Fish

Comments Accepted at the Eighth AAAI/ACM Conference on AI, Ethics, and Society. https://realize-lab.github.io/participaite

Assessing the Geolocation Capabilities, Limitations and Societal Risks of Generative Vision-Language Models

Oliver Grainge, Sania Waheed, Jack Stilgoe, Michael Milford, Shoaib Ehsan

Comments Accepted to AAAI Fall Symposium 2025 on AI Trustworthiness and Risk Assessment for Challenging Contexts (ATRACC)

AI-Powered Detection of Inappropriate Language in Medical School Curricula

Chiman Salavati, Shannon Song, Scott A. Hale, Roberto E. Montenegro, Shiri Dori-Hacohen, Fabricio Murai

Comments Accepted at 2025 AAAI/ACM AI, Ethics and Society Conference (AIES'25)

Reducing Biases towards Minoritized Populations in Medical Curricular Content via Artificial Intelligence for Fairer Health Outcomes

Chiman Salavati, Shannon Song, Willmar Sosa Diaz, Scott A. Hale, Roberto E. Montenegro, Fabricio Murai, Shiri Dori-Hacohen

Comments Accepted at the 2024 AAAI/ACM Conference on AI, Ethics and Society (AIES'24)

Journal ref AAAI/ACM AIES, 7(1), 1269-1280 (2024)

Toward Responsible ASR for African American English Speakers: A Scoping Review of Bias and Equity in Speech Technology

Jay L. Cunningham, Adinawa Adjagbodjou, Jeffrey Basoah, Jainaba Jawara, Kowe Kadoma, Aaleyah Lewis

Comments 10 pages, 9 Pages (References and Appendices). The archival version has been accepted to AAAI (AIES 2025) without the extended Appendices. This extended version includes Appendices

Enhancing Multi-Robot Semantic Navigation Through Multimodal Chain-of-Thought Score Collaboration

Zhixuan Shen, Haonan Luo, Kexun Chen, Fengmao Lv, Tianrui Li

机构 * Zhixuan Shen, Haonan Luo, Kexun Chen, Fengmao Lv, Tianrui Li（作者） 纠错

Comments 16 pages, 10 figures, Extended Version of accepted AAAI 2025 Paper

How Do AI Companies "Fine-Tune" Policy? Examining Regulatory Capture in AI Governance

Kevin Wei, Carson Ezell, Nick Gabrieli, Chinmay Deshpande

Comments 39 pages (14 pages main text), 3 figures, 9 tables. To be published in the Proceedings of the 2024 AAAI/ACM Conference on AI, Ethics, & Society (AIES)

Journal ref Proc. AAAI/ACM Conf. AI, Ethics & Soc., 7 (2024) 1539-1555

Bias Amplification in Stable Diffusion's Representation of Stigma Through Skin Tones and Their Homogeneity

Kyra Wilson, Sourojit Ghosh, Aylin Caliskan

Comments Published in Proceedings of the 2024 AAAI/ACM Conference on AI, Ethics, and Society; code available at https://github.com/kyrawilson/Image-Generation-Bias

Yuan: Yielding Unblemished Aesthetics Through A Unified Network for Visual Imperfections Removal in Generated Images

Zhenyu Yu, Chee Seng Chan

Journal ref AAAI 2025, Vol. 39, No. 9, pp. 9716-9724