Symposium Program
Symposium on Increasing Diversity in AI Education and Research Program
March 25-27, 2024 | Stanford University, Stanford, California
All Symposia Rooms will be in the Lane History Corner/Bldg. 200 – located at 450 Jane Stanford Way Bldg 200, Stanford, CA 94305
Sessions for Increasing Diversity in AI Education and Research March 25-27: Our Symposium is currently scheduled for Room 30
Sponsored by the Association for the Advancement of Artificial Intelligence
The AAAI Spring Symposium on Increasing Diversity in AI Education and Research has the following tentative program. All sessions will include presentations, Q&A, and opportunities for interaction among participants. There are 6 invited speakers. and NSF panel, and a workshop on Embedded Machine Learning. The presentations and interactive sessions include Strategies for Increasing Diversity in AI Education and Research, Increasing Diversity in AI in K-12, AI at MSI Institutions, AI Curriculum for Increasing Diversity.
Monday, March 25
9:00 - 10:30 Session 1 (Chair: Mary Lou Maher)
9:00 Welcome and Overview
9:30-10:30 Kamau Bobb, invited speaker
Educational Justice in an AI World
10:30 - 11:00 Break
11:00 - 12:30 Session 2 (Chair: Bonnie Dorr)
11:00 - 12:00 Karen Colbert, invited speaker
Data Sovereignty by Design: Advancing Computational Literacy and AI Education in Tribal College Communities
12:00 - 12:30 Interactive Session on Strategies for Increasing Diversity
Increasing Diversity in Lifelong AI Education: Workshop Report
Mary Lou Maher and Sri Yash Tadimalla
Paper, Presentation
Leveraging Generative Artificial Intelligence to Broaden Participation in Computer Science
Pranit Maldikar, Devang Jayachandran, Tyler S. Love and Jeremy Blum
Paper, Presentation
12:30 - 2:00 Lunch
2:00 - 3:30 Session 3 (Chair: Neelu Sinha)
2:00 Fireside Chat: Increasing Diversity in AI Education: Perspectives from 2 AI Institutes: INVITE and TILOS
Jamie Payton and Jodi Reeves
3:00-3:30 Interactive Session on Increasing Diversity in AI in K-12
Bridging the Gap: Diversity Initiatives in AI Education
Ryan Evans and Neelu Sinha
Paper, Presentation
Bridging Data Literacy and Social Good: A Framework for Transformative Education in AI for High School Students (Abstract)
Suma Bhat, Bhuvana Ganesh, Maheshwari Krishnan, Anjana Manian and Padmapriya Parthasarathy
3:30 - 4:00 Break
4:00 - 5:30 Session 4 (Chair: Neelu Sinha)
4:00-5:00 Charity Freeman, invited speaker
5:00-5:30 Interactive Session on Increasing Diversity in AI in K-12
Empowering Diversity in Tech: A Summer Camp Initiative for K-12 AI Education (Abstract)
Naja Mack, Michael Adeleke, Elijah Ballou and Vincent Ingram
Critical Algorithmic Literacy in K-20 Education (Abstract)
Scott Moss
6:00 - 7:00 Reception
Tuesday, March 26
9:00 - 10:30 Session 5 (Chair: Mary Lou Maher)
9:00-10:30 NSF Panel and Workshop (Li Yang, Gursel Serpen, Jill Denner)
10:30 - 11:00 Break
11:00 - 12:30 Session 6 (Chair: Jessica Coates)
11:00 - 12:30 Interactive session on AI at MSI Institutions
Enhancing AI Education at an MSI: a Design-Based Research Approach
Sambit Bhattacharya, Bogdan Czejdo, Rebecca Zulli and Adrienne Smith
Paper, Presentation
AI Literacy for Hispanic-Serving Institution (HSI) students
Neelu Sinha, Rama Madhavarao, Robert Freeman, Irene Oujo and Janet Boyd
Paper, Presentation
AI for Social Good Education at Hispanic Serving Institutions
Yu Chen, Gabriel Granco, Yunfei Hou, Heather Macias and Frank Gomez
Paper, Presentation
EqualDig: Mitigating Digital Inequality for Improving AI Education at Minority-Serving Institutions
Jinwei Liu, Rui Gong, Celestina Kolog, Clement Yedjou, Jiwon Nam-Speers and Long Cheng
12:30 - 2:00 Lunch
2:00 - 3:30 Session 7 (Chair: Jodi Reeves)
2:00 - 2:30 Interactive session on AI Curriculum for Increasing Diversity
Designing Inclusive AI Certifications
Kathleen Timmerman, Judy Goldsmith, Brent Harrison and Zongming Fei
Paper, Presentation
Scalable Undergraduate Research Mini-Projects in a Gateway AI Course
Bridget Agyare, Manooshree Patel, Heather Ding, Gireeja Ranade and Alicia Matsumoto
2:30 - 3:30 Anshul Sonak, invited speaker
Intel Digital Readiness Program – Addressing New AI Skills Divide
3:30 - 4:00 Break
4:00 - 5:30 Session 8 (Chair: Nate Derbinsky)
4:00 - 4:45 Interactive session on AI Curriculum for Increasing Diversity
Increasing Study Group Success With a Supplementary Course for Students in Gateway AI Classes (Abstract)
Manooshree Patel, Bridget Agyare and Gireeja Ranade
Using AI and interactive learning activities to boost student success and perspectives in STEM fields. (Abstract)
Clauditte T. Tchakoua (Virtual), Martha Tchounwou and Clement Yedjou
VISUAL-Learning: Developing a Cloud-Based VISUAL Simulator for Enhancing STEM Students’ AI Learning Experience (Abstract)
Jinwei Liu, Clement Yedjou and Jun Deng
4:45- 5:30 Brian Plancher: Workshop on Embedded ML
TinyML4D: Scaling Embedded Machine Learning Education in the Developing World
Brian Plancher, Marco Zennaro, Marcelo Rovai, Vijay Janapa Reddi, Sebastian Büttrich, 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 and Tales Pimenta
6:00 - 7:00 AAAI Spring Symposium Joint Plenary
Wednesday, March 27
9:00 - 10:30 Session 9 (Chair: Clement Yadjou)
9:00-10:30 Interactive session on Strategies for Increase Diversity
Implications of Diversity and Identity in AI: Creators, Creations, and Consequences
Sri Yash Tadimalla and Mary Lou Maher
Paper, Presentation
STARS AI Scholars
Jamie Payton and Tiffany Barnes
A human-centric approach towards equity an d inclusion in AI education
Swati Mehrotra and Neelu Sinha
Paper, Presentation
Diversity in AI: A Use Case Focusing on African Fashion
Christelle Scharff, Krishna Mohan Bathula, Kaleemunnisa Lnu, Samyak Rakesh, Meshram, and Om Gaikhe
Paper, Presentation
Exploring the Impact of Race-Based Stress & Racial Activism on Career Aspirasations of Racially Minoritized Doctoral Students in AI and Adjacent Fields (Abstract)
Ebony McGee and Thema Monroe-White
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 and Yvonne Coady
10:30 - 11:00 Break
11:00 - 12:30 Session 10 (Chair: Jamie Payton)
11:00-12:00 Ebony McGee, invited speaker
Beyond the Exclusionary Algorithm: The Urgent Need for Anti-Racist AI Education and Research
12:00-12:30 Closing