As AI technology is advancing rapidly, real-world deployments of AI are being increasingly used to address some of the most challenging problems faced by society. Many aspects of modern life intersect with and depend on AI technology, but relatively few people understand the principles of how this technology works. Over the past few years, there has been growing interest among AI researchers in developing new strategies for improving AI literacy.

The goal of the 2022 CMU K-12 Summit on AI for Social Good is to help the next generation of AI users and engineers to understand (1) how AI works and (2) how AI can make positive impacts on the world. We hope this summit will inspire and equip students to transform fundamental research in AI into positive real-world impact, leading to new research directions, approaches, and AI-based tools benefiting all stakeholders in future deployments.

Registration

Part of the goal of this summit is to foster diversity and inclusion in AI for social good, by stimulating interest and engagement in AI research across a broad range of backgrounds. We encourage registrations from students belonging to historically under-represented ethnic groups, socioeconomic backgrounds, sexual orientations, and genders in computer science.

Space will be limited for the Workgroup Challenge sessions; while providing demographic information is not required to register, this information will help us to prioritize participants in the event that we exceed our planned capacity. The remaining sessions will be available to registered participants and students at Carnegie Mellon University.

Register for the summit here!

Program

LAST UPDATED MARCH 4, 2022

This one-day summit will consist of various sessions targeted towards middle school and high school students.

APRIL 30, 2022

K-12 Student Program

• 10:00 am - 11:00 am (EST)
  Session 1: Welcome & Seminar
  Overview of AI for social good (Fei Fang)

• 11:00 am - 11:10 am (EST)
  Break

• 11:10 am - 12:30 pm (EST)
  Session 2: Lightning Talks
  CMU students and faculty present AI for social good projects

  1. • 11:10 am - 11:25 am Tuomas Sandholm

     • 11:25 am - 11:40 am Amulya Yadav

     • 11:40 am - 11:55 am Diyi Yang

     • 11:55 am - 12:30 pm Student Project Lightning Talks

       1. Predicting Food Insecurity (Michael Feffer, Parv Kapoor, Sebastian Dodt)

       2. Emotional Communication System for the Deaf (Sanghoon Lee, Minwoo Choi, Sangchun Park)

       3. Algorithmic Landmine Risk Prediction (Cindy Zeng, Mateo Dulce Rubio, Anna Wang)

       4. WASVI: Walking Assistance System for the Visually Impaired (Hogeun Yu, Jungwook Han, Inkwon Lee)

       5. Natural Language Processing-Based Methods for Clinical Notes Annotation (Chinar Kaul, Kanishka Bhambhani, Kelly Zhang)

       6. A Noisy-Robust Language Model for Biomedical Keyword Identification with External Knowledge-based Data Augmentation (Yoonseok Heo, Juntae Kim, Seungho Chung)

       7. Name This Herb (Haechan Lee, Youngin Kim, Jinsung Lee)

       8. Facial Action Detection (Jooeun Son)

• 12:30 pm - 1:30 pm (EST)
  Lunch

• 1:30 pm - 2:30 pm (EST)
  Session 3: Career Panel
  Researchers discuss pursuing degrees or careers in AI for social good (Meghana Kshirsagar, Sean McGregor, Fei Fang)

• 2:30 pm - 3:30 pm (EST)
  Session 4: Workgroup Challenge (Part 1)
  Students in the audience work in groups to identify a societal challenge AI could help with

• 3:30 pm - 4:30 pm (EST)
  Session 5: Workgroup Challenge (Part 2)
  Students work to complete and deliver presentations for the identified societal challenges

important dates

March 30: Registration deadline

April 30: 2022 CMU K-12 Summit on AI for Social Good

organizers

Institute for Software Research, Carnegie Mellon University

Fei Fang (Assistant Professor, Institute for Software Research, Carnegie Mellon University)

Prof. Fang is a Leonardo Assistant Professor in the Institute for Software Research at Carnegie Mellon University. Her research interests lie in the area of artificial intelligence, focusing on the integration of computational game theory and learning to address real-world challenges in critical domains such as security, sustainability, and mobility.

Rex Chen (PhD Student, Institute for Software Research, Carnegie Mellon University)

Ryan Shi (PhD Student, Institute for Software Research, Carnegie Mellon University)

Youth AI Lab

The Youth AI Lab is a community of high school and university students who aim to make machine learning more accessible to today's youth - the future pioneers and problem-solvers who will need to understand how to use AI ethically to solve the world’s problems.

Melinda Xu

Jeffrey Pan

Hannah Mu

Michaela Ousterhout

Belle Reader