Edited by Ron Petrick, Christopher Geib
March 25-27, 2024, Stanford University, Stanford.
Published by The AAAI Press, Washington, DC, USA
Copyright © 2024, Association for the Advancement of Artificial Intelligence
1101 Pennsylvania Ave, NW, Suite 300, Washington, DC 20004
All Rights Reserved. No part of this proceedings may be reproduced in any form by any electronic or mechanical means (including photocopying, recording, or information storage and retrieval) without permission in writing from the publisher.
ISSN 2994-4317
ISBN-10 1-57735-888-0
ISBN-13 978-1-57735-888-6
The Association for the Advancement of Artificial Intelligence’s 2024 Spring Symposium Series was held on March 25-27, 2024, at Stanford University, in Stanford, California. This AAAI Symposium Series fosters a more intimate environment, enabling emerging AI communities to engage in workshop-style discussions. The topics change each year, ensuring a dynamic venue that stays current with the evolving landscape of AI research and applications.
This year, the program included the following eight symposia:
Bi-directionality in Human-AI Collaborative Systems
Clinical Foundation Models Symposium
Empowering Machine Learning and Large Language Models with Domain and Commonsense Knowledge (AAAI-MAKE 2024)
Federated Learning on the Edge
Impact of GenAI on Social and Individual Well-being
Increasing Diversity in AI Education and Research
Symposium on Human-Like Learning
User-Aligned Assessment of Adaptive AI Systems
Published: 2024-05-21
Enhancing AI Education at an MSI: A Design-Based Research Approach
Sambit Bhattacharya, Bogdan Czejdo, Rebecca A. Zulli, Adrienne A. Smith, pp 467-472, PDF
AI for Social Good Education at Hispanic Serving Institutions
Yu Chen, Gabriel Granco, Yunfei Hou, Heather Macias, Frank A. Gomez, pp 473-473, PDF
Bridging the Gap: Diversity Initiatives in AI Education
Ryan Evans, Neelu Sinha, pp 474-477, PDF
Remote Possibilities: Where There Is a WIL, Is There a Way? AI Education for Remote Learners in a New Era of Work-Integrated-Learning
Derek Jacoby, Saiph Savage, Yvonne Coady, pp 478-485, PDF
Leveraging Generative Artificial Intelligence to Broaden Participation in Computer Science
Devang Jayachandran, Pranit Maldikar, Tyler S. Love, Jeremy J. Blum, pp 486-492, PDF
Increasing Diversity in Lifelong AI Education: Workshop Report
Mary Lou Maher, Sri Yash Tadimalla, pp 493-500, PDF
A Human-Centric Approach towards Equity and Inclusion in AI Education
Swati Mehrotra, Neelu Sinha, pp 501-507, PDF
TinyML4D: Scaling Embedded Machine Learning Education in the Developing World
Brian Plancher, Sebastian Buttrich, Jeremy Ellis, Neena Goveas, Laila Kazimierski, Jesus Lopez Sotelo, Milan Lukic, Diego Mendez, Rosdiadee Nordin, Andres Oliva Trevisan, Massimo Pavan, Manuel Roveri, Marcus Rüb, Jackline Tum, Marian Verhelst, Salah Abdeljabar, Segun Adebayo, Thomas Amberg, Halleluyah Aworinde, José Bagur, Gregg Barrett, Nabil Benamar, Bharat Chaudhari, Ronald Criollo, David Cuartielles, Jose Alberto Ferreira Filho, Solomon Gizaw, Evgeni Gousev, Alessandro Grande, Shawn Hymel, Peter Ing, Prashant Manandhar, Pietro Manzoni, Boris Murmann, Eric Pan, Rytis Paskauskas, Ermanno Pietrosemoli, Tales Pimenta, Marcelo Rovai, Marco Zennaro, Vijay Janapa Reddi, pp 508-515, PDF
Inclusion Ethics in AI: Use Cases in African Fashion
Christelle Scharff, James Brusseau, Krishna Mohan Bathula, Kaleemunnisa Fnu, Samyak Rakesh Meshram, Om Gaikhe, pp 516-521, PDF
AI Literacy for Hispanic-Serving Institution (HSI) Students
Neelu Sinha, Rama Madhavarao, Robert Freeman, Irene Oujo, Janet Boyd, pp 522-527, PDF
Implications of Identity in AI: Creators, Creations, and Consequences
Sri Yash Tadimalla, Mary Lou Maher, pp 528-535, PDF
Designing Inclusive AI Certifications
Kathleen Timmerman, Judy Goldsmith, Brent Harrison, Zongming Fei, pp 536-543, PDF