Vansh Tibrewal, a student who worked on this project, made a few remarks about the process of working with his peers in his small group:
They were able to apply techniques within natural language processing, such as bag of words, to create these models. Using logistic regression, students classified the website data into fake or real, split the data into training, validation, and test sets, and then created a model that optimized for prediction accuracy. Students worked to improve the quality and authenticity of online content by classifying websites as real or fake using real website data. This project exposed students to the increasingly relevant issue of fake news circulation in social media. Vishnu Nandurkar is a student from VCW Arya Vidya Mandir, Bandra Kurla Complex in Mumbai, India. In sum, this program transformed my curiosity about AI into passion for AI. The program takes us through conceptual fundamentals, introduces AI application followed by hands on programming. This program opened my eyes to the world of AI. I already loved coding in C++, Java and Python and that I was curious about AI when I signed up for this program. The project helped cement Vishnu Nandurkar’s interest for AI into a passion for AI through interactive coding: This helps radiologists detect cases of pneumonia that may have less obvious signs in the X-ray, as well as help them save time by combing for pathogen markers in the multiple images that are needed to make an accurate diagnosis. Using convolutional neural networks, they built AI models that augmented medical diagnoses by detecting pneumonia from X-rays of patients’ chests. In this project, students learned about AI concepts related to computer vision by exploring medical imaging.
With this newfound passion/interest in this field, I wanted to discover more about AI, and I thank InspiritAI for opening a part of me that I did not know, existed.Ĭhristina Liao is a 12th grade student at Los Alto High.
I took great interest in this and it led me to want to dive deeper into the world of AI. The project I worked on was very eye opening for me because I had the chance to see that racial bias not only existed in the human world, but that it also existed in the never ending world of technology. She also talked about how this project made her more aware of social injustices within the criminal justice system: Not only did I have the chance to work with a very talented mentor, I also had the chance to communicate with students who shared my interests, but had completely different experience from me. The communication between my peers, my instructor, and I was flawless considering we were on opposite sides of the earth. In this project, students seek to make these trials and decisions more fair by building their own models that predict a defendant’s likelihood of reoffending, as well as critiquing existing models’ accuracy.Ī student who participated in this project, Christina Liao, commented on the unique experience of collaborating on these projects with her peers and instructor: The bias in these algorithms have real, tangible effects on these defendants, often affecting the type and length of their sentences. to predict which defendants were more likely to reoffend. Students first learn about the bias in existing algorithms used by courts in the U.S.
This project focuses on the ethics dilemmas within AI by examining the criminal justice system.
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