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Registration is required for participation, whether you are in person or remote! Register Today!
Registration Information: https://aaai.getregistered.net/2025-spring-symposium
Foundation models, such as large language models (LLMs), vision language models (VLMs), and speech foundation models, can enable more effective, natural, and engaging child-AI interactions. Both academic researchers and industry practitioners are increasingly interested in leveraging these models to provide accessible, personalized support for children in areas such as education, entertainment, health, and well-being. However, the opportunities presented by foundation models are accompanied by significant risks and ethical concerns, especially in the context of child-AI interactions. Notable concerns include privacy, bias, and the potential of exposure to harmful and illegal content.
Interdisciplinary discussions on this topic are crucial, timely, and needed to guide future research toward more effective and responsible child-centered AI. Our goal for this symposium is to facilitate communication, the exchange of expertise and experiences, and the formation of connections among experts in AI, interaction design, and application domains, all of whom are passionate about a safe and fulfilling future of child-centered AI systems. The symposium will focus on participatory research methods that include children so they can provide direct input regarding their needs and preferences, thereby giving them more agency in the design of child-AI interaction. We aim to stimulate discussions that can help human-centered AI researchers to leverage the latest techniques from machine learning so as to generate novel and meaningful interactions that are child-centered and align with children's rights.
The proposed symposium aims to bring together presenters and participants from relevant fields including, but not limited to, human-robot interaction (HRI), human-computer interaction (HCI), natural language processing (NLP), spoken language understanding (SLU), machine learning (ML), education, and pediatric healthcare. The symposium aims to offer a unique opportunity for researchers across these disciplines to foster mutual understanding and facilitate collaborations, paving the way for future advancements in child-AI interaction.
Submission Requirements
Submission Requirements
All paper submissions will be reviewed through a rigorous single-blind process by the programs committee. We are soliciting two kinds of contributions:
* Poster/short/position papers: Recommended 2 pages and Maximum 4 pages excluding references.
* Full papers: Maximum 8 pages excluding references.
Submission Website
Submission Website
We will use the official AAAI EasyChair site for our paper submissions. You can access that site here:
https://easychair.org/conferences/?conf=sss25
Be sure to select the "Symposium on Child-AI Interaction in the Era of Foundation Models" Track.
Submission Deadlines
Submission Deadlines
All deadlines are 11:59pm In Anywhere on Earth (AoE) time zone.
For archival papers that are going to be included in the official AAAI Symposium Proceedings:
* Submission deadline: January 17
* Notification of acceptance or rejection: January 24
* Camera-ready paper deadline: February 1
For non-archival papers:
* Submission deadline: February 1
* Notification of acceptance or rejection: February 10
* Camera-ready paper deadline: February 17
All submissions must be accompanied by at least one registered participant for in-person presentation. See registration deadlines and fees below:
Keynote Speakers
Keynote Speakers
(In no particular order)
(In no particular order)
Dr. Patrícia Alves-Oliveira
Dr. Patrícia Alves-Oliveira
she/her
Assistant Professor, Robotics
University of Michigan
Dr. Vicky Charisi
Dr. Vicky Charisi
she/her
Research Fellow
Harvard University
Dr. Yao Du
Dr. Yao Du
she/her
Clinical Assistant Professor of Otolaryngology-Head and Neck Surgery (Clinician Educator)
University of Southern California
Dr. Dennis Wall
Dr. Dennis Wall
he/him
Professor of Pediatrics (Clinical Informatics), of Biomedical Data Science and, by courtesy, of Psychiatry and Behavioral Sciences
Stanford University
Dr. Ge "Tiffany" Wang
Dr. Ge "Tiffany" Wang
she/her
Postdoctoral Fellow at Stanford, Future Faculty at Siebel School of Computing and Data Science
Stanford University/UIUC.
Faculty Committee Organizers
Faculty Committee Organizers
Dr. Maja Matarić
Dr. Maja Matarić
she/her
Professor of Computer Science, Neuroscience, and Pediatrics
University of Southern California
Viterbi School of Engineering
Dr. Selma Šabanović
Dr. Selma Šabanović
she/her
Professor of Informatics and Cognitive Science
Indiana University, Bloomington
Luddy School of Informatics, Computing, and Engineering
Dr. Brian Scassellati
Dr. Brian Scassellati
he/him
Professor of Computer Science & Mechanical Engineering & Materials Science
Yale University
Dr. Shri Narayanan
Dr. Shri Narayanan
he/him
Professor of Electrical and Computer Engineering, Computer Science, Linguistics, Psychology, Pediatrics, and Otolaryngology
University of Southern California
Viterbi School of Engineering
Dr. Jieyu Zhao
Dr. Jieyu Zhao
she/her
Assistant Professor of Computer Science
University of Southern California
Viterbi School of Engineering
Dr. Robin Jia
Dr. Robin Jia
he/him
Assistant Professor of Computer Science
University of Southern California
Viterbi School of Engineering
Student & Post-Doc Committee Organizers
Student & Post-Doc Committee Organizers
Zhonghao (Jonathan) Shi
Zhonghao (Jonathan) Shi
he/him
Ph.D. candidate in Computer Science
University of Southern California
Nathan Dennler*
Nathan Dennler*
he/they
Ph.D. candidate in Computer Science
University of Southern California
Leigh Levinson
Leigh Levinson
she/her
Ph.D. candidate in Computer Science
Indiana University Bloomington
Dr. Tiantian Feng**
Dr. Tiantian Feng**
he/him
Post-doctorate Researcher
University of Southern California
Xuan Shi
Xuan Shi
she/her
Ph.D. student in Electrical Engineering
University of Southern California
Nicholas Georgiou
Nicholas Georgiou
he/him
Ph.D. candidate in Computer Science
Yale University
Amy O'Connell
Amy O'Connell
she/her
Ph.D. candidate in Computer Science
University of Southern California
**On the job market for a faculty opening!
*On the job market for a post-doc! :)
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