Program Schedule

Jun 19 Mon	Jun 20 Tue	Jun 21 Wed	Jun 22 Thu	Jun 23 Fri
SESSION 1
Introduction to AI [Video] Speaker: Dr. Amit Sheth	Python (Intro, Basic Examples, Visualization) [Video] Speaker: Deepa	Manufacturing Visit	AI One Can Trust A. Chatbots [Video] B. AI Bias [Video] Speaker: Dr. Biplav Srivastav, Kausik Lakharaju, Siva Likitha, Sara Rae Jones	AI Applications A. Diabetes (Jinendra) [Video] B. Autonomous Vehicles (Ruwan) [Video] C. Students Experience (Nathan) D. Internship Experience (Parth) E. Food (Renjith F. Factify (Megha) G. Asthma Demo H. Disaster Demo I. ABC-AI J. Health e Gamecock Chatbot K. McNair and AIISC Demo for BMW
AI Examples [Video] Speaker: Deepa	Python (ML) Speaker: Deepa	AI in Manufacturing [Video] Speaker: Chathurangi
Volunteers: Thilini, Jinendra	Volunteers: Jinendra, Sabah, Nayeem	Volunteers: Ruwan, Jinendra	Volunteers: Kausik, Siva Likitha, Sara Rae Jones , Jinendra	Volunteers: Jinendra
LUNCH
SESSION 2
ChatGPT - How to make any app using ChatGPT [Video] Speaker: Jinendra	AI in Gaming (Alleviate [Video], Rubik Cube [Video]) Speakers: Vedant and Kaushik	AI Content Generation and Detection [Video 1] [Video 2] Speakers: Megha, Renjith, and Jinendra	AI in Analogy Analogy Resource [Video] Speaker: Thilini
How to write a college essay using ChatGPT Speaker: Jinendra
Volunteers: Chathurangi, Nayeem, Renjith	Volunteers: Megha, Jinendra	Volunteers: Vedant, Vipula	Volunteers: Megha, Jinendra
REVIEWS
“All of the ChatGPT activities were fun. It is easier to be engaged when we are doing something hands on. having something that seems like our own (tic tac toe) was very validating and enjoyable.”	“The intro to python and the AI in gaming were very enjoyable as they were very interactive and I was consistently doing something. The grad students walking around and helping was very useful.”	“I like the fact that we were able to discuss the downsides of AI-generated information. It gives us the awareness that AI-generated information could potentially have negative impacts. Thus, why there are debates and research on what we could do to fix problems regarding AI-generated text detection.”	“I liked how the machine learning examples used both vocal explanation through the physical lecture and visual representation through informative videos provided adjacent to what was being said.”	“All of today was very engaging and interesting. I enjoyed getting to see something in real life then later having it explained and broken down. I also found the content and detection very enjoyable it really made me think about ethical and moral issues that have to be addressed in order to address these issues.”