AI for Youth
Empower youth with AI tech and social skills in an inclusive way.
Video for AI for Youth Program
Why AI for Youth?
Today’s students are tomorrow’s innovators. While the impact of Emerging Technologies like AI is undeniable, the degree to which it influences and prepares youth currently depends on a variety of factors such country, gender and age. Thus, even though AI is everywhere, the opportunity to benefit from it and shape it is not.
The next generation of innovators needs the right skills and resources to understand what AI is, how it is designed, and why it is important in today’s digital world. Otherwise, the digital skills gap will only increase and further hurt economies and society. Moreover, many young people don’t yet fully grasp the key role they can play in shaping AI. Hence, it is essential to demystify and democratize AI for the next generation of innovators in an inclusive way, irrespective of gender, ethnicity or location.
Providing them the opportunity to learn AI skills and apply them responsibly to design any solution is an important key to building long-term competitiveness.
- Deep understanding of AI: Demystify AI and equip youth with the skill sets and mindsets required for AI readiness.
- Access and use of AI toolsets: Democratize access to AI tools with Intel technologies and train youth to use them skillfully.
- Create solutions with AI: Meaningful social impact solutions as evidence of achievement.
Story of Storganizer, Israel
Small fashion stores commonly struggle to organize the store shelves according to the latest fashion, color and types of clothes. After completing AI for Youth program in Israel, four young boys built a new computer vision-based app called Storganizer. The app sorts and arranges different clothes and items on the shelf according to the color and style. They first collected a database of images of clothing color and item types (e.g., T-shirts, shorts). Using Intel Python* libraries, they developed a model for training with almost 90% accuracy, tested the classification capabilities with a new clothing item, and built the AI-based user app. The user can send a picture of any clothing to the app, and the inbuilt model identifies the type and color of the garment and recommends an appropriate location for storage. This new store organizer app helps small stores organize clothes better and in the correct locations, thus increasing productivity, ease and profitability. The students want to use the AI technologies responsibly to help those stores that want to employ disabled workers, such as blind workers or workers with reduced mobility.
Russian student creates an innovative app to help recognize signs of mental disorders
Diagnosing early stages of mental disorders can prevent major behavioral problems and save lives. An eleventh-grade student from Novosibirsk in Siberia, Tleubaev Stepan, has built an app prototype that assists with diagnosis after learning AI skills in AI for Youth program. This app can help identify a patient's unstable mental state and provide a doctor with information for further analysis and response. Using AI tools, the app can analyze facial expressions in a live video or through a stream of images. If the face is not detectable or present in the live video, the app can capture sound recording instead. The results are then shared with a doctor for further diagnosis. A chatbot is used to notify the patient and the doctor in case of worrisome activity. The app may help to identify potential cases that should seek help early or to get immediate professional advice from doctors. This solution can be implemented as headgear with a camera. A built-in microphone can be used as a convenient alternative to holding a phone in front of the caller.
China scales AI skilling across the country with innovative public-private partnerships
China is adopting AI education across all high schools, and leading local universities play a critical role in accelerating that adoption. Universities collaborate with Intel to train their lead coaches and help students gain necessary AI tech and social skills with Intel technologies. Participating universities include Fudan University, Shanghai Jiaotong University, Tsinghua University, and East China National University. Local Intel certified coaches have customized the program to suit their unique classroom needs. Based on the strong response from teachers and students, local government officials such as Jinshan Education Bureau are scaling the program across districts. Students are building exemplary local innovation AI projects from the program. Projects include an image quality detection software based on Deep Learning, a system for predicting Steam game categories, and using Machine Learning and Jaccard's algorithm to filter student evaluations with Natural Language Processing. Top secondary schools across cities like Beijing, Shanghai and Chengdu are already implementing the program with the support of local government bodies and universities.