Welcome to STEAM in AI
Data Science and AI Ethics College Prep Intensive for Middle and High School Students
According to the World Economic Forum, AI will generate 97 million new jobs by 2025. Many of these roles won’t require coding skills or a background in STEM; rather, AI is increasingly integral across diverse fields like healthcare, finance, automotive, media, business, arts, policy, and customer service, to name just a few. STEAM in AI programs not only equip students with skills for this tech-driven job market but also focus on building ethical and responsible leaders who understand the impact of technology across industries in an increasingly AI-driven world.Join the upcoming Webinar
College Admission Secrets: Securing Your Child’s Spot at Top Schools
In today's highly competitive college admissions landscape, students need every advantage they can get. This presentation will explore how STEAM in AI can help students develop the skills, experiences, and projects that admissions offices value, giving them an edge in the application process.Secure Your Spot
Presenting 6 STEAM in AI Tracks for Students in Grades 6-12
STEAM in AI Students have the opportunity to work on exciting
AI Projects across Industries, Domains and Careers
AI + Entrepreneurship
Recommended for Students in Grades 7-12
No Pre-requisite
Career Paths: Business and Marketing, Technology, Startup
The AI + Entrepreneurship STEAM in AI Intensive is a dynamic program tailored for middle and high school students passionate about the intersection of artificial intelligence and entrepreneurship. Created by faculty and mentors from Stanford, UC Berkeley, and MIT, this mentor-led experiential learning program places a strong emphasis on ethical AI practices. The program focuses on fostering entrepreneurial thinking and design strategies, equipping students with the tools to innovate and create AI-driven business solutions. Guided by industry professionals who are at the forefront of AI advancements, students gain valuable real-world experience. This intensive program not only prepares students for future AI careers but also helps them stand out in college applications, showcasing their ability to integrate AI with entrepreneurial endeavors.
Duration: Cohort will meet 2.5 hours each session live with a Mentor + 2-3 hours per week.
Format: Virtual
AI + Design Thinking
Recommended for Students in Grades 7-12
No Pre-requisite
Career Paths: Arts and Design, Communication and Media, Technology
The AI + Design Thinking STEAM in AI Intensive is an innovative program designed for middle and high school students eager to explore the fusion of artificial intelligence and design thinking. Developed by faculty and mentors from Stanford, UC Berkeley, and MIT, this mentor-led experiential learning program emphasizes ethical AI practices and creative problem-solving. The program uniquely integrates design thinking principles, encouraging students to approach AI challenges with creativity and user-centric solutions. With guidance from industry experts who are pioneering advancements in AI, students receive invaluable real-world insights and hands-on experience. This intensive program not only prepares students for future careers in AI but also enhances their college applications by demonstrating their ability to blend technical skills with innovative design thinking.
Duration: Cohort will meet 2.5 hours each session live with a Mentor + 2-3 hours per week.
Format: Virtual
AI + Social Impact
Recommended for Students in Grades 7-12
No Pre-requisite
Career Paths: Law and Public Policy, Humanities and Social Sciences, Technology
The AI + Social Impact STEAM in AI Intensive is a transformative program crafted for middle and high school students passionate about leveraging artificial intelligence to drive positive social change. Created by faculty and mentors from Stanford, UC Berkeley, and MIT, this mentor-led experiential learning program prioritizes ethical AI practices and real-world applications. The program emphasizes the importance of AI for social good, inspiring students to develop innovative solutions that make a difference in their communities and beyond. Guided by industry leaders actively shaping the future of AI, students gain practical experience and insights into the impactful use of AI technology. This intensive program not only prepares students for careers in AI but also enhances their college applications by showcasing their commitment to using AI for social impact.
Duration: Cohort will meet 2.5 hours each session live with a Mentor + 2-3 hours per week.
Format: Virtual
Data Science Master
Recommended for Students in Grades 10-12
No Pre-requisite
Career Paths: Business and Economics, STEM, Data Science, Health and Medicine
The Data Science Master STEAM in AI Intensive is a cutting-edge program designed to equip high school students with the skills and knowledge to excel in the intersection of artificial intelligence and business analytics. Developed by faculty and mentors from Stanford, UC Berkeley, and MIT, this mentor-led experiential learning program emphasizes ethical AI practices. Students will delve into data science, learning to collect, analyze, and visualize data. Mentors from the AI industry guide students throughout the program, ensuring they receive real-world insights and expertise. This intensive experience not only prepares students for AI careers of the future but also helps them stand out in college applications.
Duration: Cohort will meet for 2.5 hours each session live with a Mentor + 3-5 hours per week.
Format: Virtual
AI Master
Recommended for Students in Grades 10-12
No Pre-requisite
Career Paths: Engineering and STEM, Health and Medicine
The AI Master STEAM in AI Intensive is an elite program designed for high school students who aspire to master the fields of Science, Technology, Engineering, Arts, and Mathematics with a strong emphasis on Artificial Intelligence. Developed by faculty and mentors from Stanford, UC Berkeley, and MIT, this mentor-led experiential learning program focuses on ethical AI practices and advanced interdisciplinary applications. Students will embark on an in-depth exploration of data science, including data collection and datasets. They will build an AI model using Python, and apply their knowledge to complex real-world problems. The program also integrates elements of business, entrepreneurship, and design thinking, providing a holistic education that prepares students for diverse career paths in AI. Under the guidance of industry experts who are leading the charge in AI innovation, students will gain unparalleled insights and hands-on experience. The STEAM in AI Master Track not only equips students with the skills needed for future AI careers but also enhances their college applications, highlighting their expertise and dedication to excellence in AI.
Duration: Cohort will meet for 2.5 hours each session live with a Mentor + 3-5 hours per week
Format: Virtual
AI Research
Recommended for Students in Grades 10-12
No Pre-requisite
Career Paths: Engineering and STEM, Health and Medicine
The AI Research Intensive is a program designed for high school students who seek a comprehensive and immersive research experience in Science, Technology, Engineering, Arts, and Mathematics, with a particular focus on Artificial Intelligence. Developed by faculty and mentors from Stanford, UC Berkeley, and MIT, this mentor-led program emphasizes ethical AI practices and hands-on, real-world applications. Students will conduct research, and tackle real-world challenges using AI. Guided by industry professionals at the forefront of AI innovation, students gain invaluable insights and practical experience. The STEAM in AI Research Track not only prepares students for future careers in AI but also enhances their college applications by demonstrating their dedication to mastering AI through an intensive, all-encompassing learning experience.
Duration: Cohort will meet for 2.5 hours each session live with a Mentor + 3-5 hours per week
Format: Virtual
Where STEAM in AI Graduates Go
Register for the next Cohort
Check out the Student Registration Page
For Online Dates and Cohorts
Register for the next Cohort. Applications are processed on a rolling basis. Limited Seats.
How is STEAM in AIᵀᴹ different?
STEAM in AI is a Trade School for Data + AI Ethics
Developed by former Stanford and UC Berkeley Adjunct Professor, MIT Mentor $100K Entrepreneurship Competition, Data and AI Ethics thought leader from Silicon Valley, Generative AI Ethics Keynote Speaker for the U.S. Military and the California Department of Education.
The Mission of STEAM in AI is to raise the next generation of Ethics 1st Data + AI skilled workforce!Our Network of Mentors
STEAM in AI is taught by Mentors from the Industry
Our Mentors are Ph.D. Students, Data Scientists, AI/ ML Engineers shaping the AI Industry today.
Shilpi
STEAM in AI Founder, Former Stanford AI Adjunct
AI Ethics, Data Science Ethics, Entrepreneurship, Design Thinking, Visual Communication, AI in Education, AI Policy, Business, Marketing, Diversity and Inclusion, Social Impact, Girls in STEM.
Troy
Ph.D. Candidate
Mathematics, Programming, Astronomy, Data Science, Research, Machine Learning, remote monitoring of human health and wellness, solutions integrated into flexible, wearable medical devices, biomedical signal processing.
Dhruv
AI Engineer
Applied Machine Learning, MLOps, Data Engineering, Full Stack Application Development, On-Device AI, Small Language Models, Computer Vision, XR
Juliana
Ph.D. Candidate
Computer Engineering, Cloud Software, Machine Learning research, Electrical Engineering, Skin Cancer Diagnosis.
Himel
Ph.D., Senior Research Scientist
Advanced AI/ML models, AdTech, representation learning for complex metadata, statistical and machine learning models, inductive algorithms for behavioral segmentation, user behavior models to augment and enhance recommendation systems, causal machine learning methods for challenging experimental setups, and robust frameworks for anomaly detection and automatic root cause investigation.
Tanvir
Data Scientist
Data Science, Computerized System Validation (CSV), Forecasting, Data Architecture, Data Governance.
Hear from our Mentors on some potential STEAM in AI Projects
Secure Your Spot Now! Get Priority for AI Projects and Mentors!!
that you could be doingDetecting and Mitigating AI Blindspots
AI blindspots refer to limitations or shortcomings in artificial intelligence systems that can lead to unexpected errors, biases, or failures. These blindspots can arise from various factors, including the data used to train the AI, the algorithms employed, and the inherent complexities of the real world. Addressing AI blindspots requires rigorous testing, diverse and representative training data, ongoing monitoring, and a commitment to ethical AI practices. Researchers and developers are improving AI robustness and mitigating these blindspots to create more reliable and trustworthy AI systems.Quantifying Inequitable Access to Election Polling Sites
Improving equitable access to community resources such as voting sites is an important first step towards addressing the needs of underrepresented populations. This project will focus on the precise quantification of inequitable access to voting booths and the automated identification of electoral ``deserts`` using real-world maps of polling coverage. The technique employed will be topological data analysis (in particular, persistent homology), a mathematical framework for detecting ``holes`` in a network or a cloud of data points.Detecting Cardiac Arrhythmias’
Are you passionate about making a real-world impact through technology? Our winter cohort will embark on a groundbreaking project to develop an AI-powered solution for detecting Atrial Fibrillation - the most common cardiac arrhythmia affecting seniors. This isn't just a learning project; it's an opportunity to potentially save lives. Senior citizens, especially those from underserved communities, face significant challenges in accessing healthcare. Our focus? To utilize AI for remote monitoring, thus drastically improving their quality of life. You'll delve into advanced techniques like Shannon entropy, k-nearest neighbors, support vector machines, and various signal processing methods.Personality Detection for AI Systems
The proposed project aims to develop a robust framework for detecting and characterizing the personality traits of Artificial Intelligence (AI) systems. Understanding the personality of AI is crucial for enhancing user interaction, trust, and the overall user experience. This project will explore methods to assess and categorize AI personalities, facilitating the development of more personalized and adaptive AI systems.Next Cohort Applications Open!!
Secure Your Spot Now! Get Priority for AI Projects and Mentors!!
Limited Seats! Rolling Admissions!!Register for the Next Cohort. Applications are processed on a rolling basis. Limited Seats.
Hear from STEAM in AI Graduates
Through STEAM in AI, I got to explore the fundamentals of software engineering. It helped me learn about different areas of coding, such as learning about AI, data sciences, and machine learning. This taught me what I could expect in the future.
I was originally thinking about pursuing mechanical or electrical engineering but now I’m interested in computer sciences.
Chloe Feng, Rising High School Senior
How do you think the STEAM in AI College Prep Program helped you in your Path to College?
It showed me different ethical ways to use AI and opening up my eyes to different potential issues and code wise it opened a lot of paths for to learn and explore. My interest in careers was already computer science, STEAM in AI Data + AI Ethics Intensive enforced it though.
Alexa Torres, STEAM in AI Data + AI Ethics Intensive Graduate
STEAM in AI Student Projects
Project 1: Social Media Sentiment & Image Analysis for Improving Professional Outlooks
The main goal of this project was to develop an AI-based tool that teenagers and young adults could use to analyze how potential employers would view their social media activity and to improve their professional outlook by highlighting problematic posts.
Project 2: Analyzing Building Architecture with Computer Vision
The objective of the project was to apply Computer Vision Machine Learning tools in Artificial Intelligence to analyze and classify Buildings based on their architectural features.
Project 3: Building an AI Model for Depolarization
The objective of this project was to develop an AI model using LLM (Language and Learning Models) techniques to address depolarization. The model aimed to analyze and understand polarizing language patterns, detect potential sources of polarization, and suggest strategies for promoting dialogue and understanding.
Project 4: Building an ML Classification Model for Knee MRI to help doctors with diagnosis
The objective of this project was to build a Machine Learning Classification Model to predict if a Knee had an ACL or Meniscal Tear based on an MRI image. This model could be used for an app to give a second opinion to a doctor as they evaluate a patient's Knee MRI to help prevent misdiagnosing.
Research Paper: Building a Depolarization GPT AI
Register for the Next Cohort. Applications are processed on a rolling basis. Limited Seats.
Students
How to get started?
Easy 4 Step Process
Apply
Apply to join as a Student
Interview
Get invited to an Interview
Pay
If you're a good fit for the Program, we'll invite you to complete the Registration.
Get Matched
We'll find the perfect Mentor and Cohort for you.
What happens next?
After you've completed your Registration and Payment, you will be invited to join a Cohort based on your Interest and the level of your Programming skills.
STEAM in AI
Allies and Partners
U.S. Department of Education's
Engage Every Student Ally
DataEthics4All Foundation is a proud Engage Every Student Ally. Engage Every Student is a bold new call to action by the U.S. Department of Education to provide high-quality out-of-school time learning opportunities for every child who wants to participate.
California Department of Education's
AI Webinar Series: Learning with AI, Learning about AI
is brought to You through a Collaboration between STEAM in AI and The California Department of Education
U.S. Chamber of Commerce Foundation
How STEAM in AI is preparing Students for Jobs of the Future
Read our Article on the U.S. Chamber of Commerce Foundation Website on how DataEthics4Allᵀᴹ Foundation’s STEAM in AIᵀᴹ College Prep Research and Buildᵀᴹ Program is Building An Equity-Driven Workforce of the future.
U.S. Presidential Volunteer Service Award
Certifying Organization
DataEthics4All Foundation is a U.S. Presidential Volunteer Service Award (PVSA) Certifying Organization.
Aligned with United Nation’s 8 Sustainability Development Goals
DataEthics4All Foundation is helping high school students explore STEAM and AI Career Pathways, prepare for careers and jobs of the future that don’t exist today to help build an equitable, diverse and inclusive future workforce.
Learn AI. Be prepared for future AI Jobs and Careers. Start Today!