Educational Initiatives

Our goal is to actively build the next generation of talent: increasing, educating, and diversifying the future AI workforce. 

To promote the growth of a diverse and global research community and future workforce, we are working to create pivotal educational experiences for K-12, undergraduate, and graduate students that: 

• convey ethical challenges and approaches in Human-AI Interaction (HAI); 
• motivate students to incorporate HAI in their future studies; 
• expose students to authentic research experiences; 
• provide interdisciplinary experiences that integrate use-inspired research with HAI innovation; 
• provide connectivity between K-12, undergraduate, and graduate education in HAI; and
• create shareable materials for distribution with our partners and throughout the US/world. 

College Curricula

• DiffusionDemo
• AI for Teachers Workshop
• Robotic Caregivers Course
• BridgeUp STEM
• REU: Robots in the Real World
• MCI and AI Technology

AI Demos

• Neuron Sandbox: https://www.cs.cmu.edu/~dst/NeuronSandbox

• Knowledge Graph Visualization: https://www.cs.cmu.edu/~dst/KnowledgeGraphDemo

• BERT visualization: https://www.cs.cmu.edu/~dst/BERT-insight 

• Markov Chain Demo: https://www.cs.cmu.edu/~dst/MarkovChainDemo

• DoodleIt (how CNNs work): https://www.cs.uml.edu/~fredm/DoodleItUpdated/LatestFiles:%20v2/ 

News and Media

• Georgia Tech’s CEISMC at Center of $65 Million Federally Funded Statewide Initiative Combining AI and Manufacturing Innovations

Publications

1. Saniya Vahedian Movahed, James V. Dimino, Andrew T. Farrell, Elyas Irankhah, Garima Jain, Vaishali Mahipal, Pranathi Rayavaram, Kelilah L. Wolkowicz, Sashank Narain, Fred G. Martin (2023). Developing AI Educational Tools for Children. To be presented at ACM CHI 2023 Workshop on Human-Centered Explainable AI (HCXAI). PDF slides

2. Ruizhe Ma, Ismaila Temitayo Sanusi, Vaishali Mahipal, Joseph E. Gonzales, and Fred G. Martin. 2023. Developing Machine Learning Algorithm Literacy with Novel Plugged and Unplugged Approaches. In Proceedings of the 54th ACM Technical Symposium on Computer Science Education V. 1 (SIGCSE 2023). Association for Computing Machinery, New York, NY, USA, 298–304. https://doi.org/10.1145/3545945.3569772

3. Mahipal, V., Ghosh, S., Sanusi, I., Ma, R., Gonzalez, J.E., and Martin, F. (2023). DoodleIt: A novel tool for teaching how CNNs perform image recognition. In Proceedings of the 25th Australasian Computing Education Conference (ACE '23), Melbourne, Australia. Association for Computing Machinery, New York, NY, USA, 31–38. ACM DL EAAI 2023 - Autonomous Agents