Welcome to STEAM in AI
Data Science and AI Ethics College Prep Intensive for Middle and High School Students
STEAM in AI offers a Data Science and AI Ethics College Prep Intensive designed for middle and high school students. This mentor-led program provides hands-on, experiential learning in either AI Build or Research tracks, where students gain real-world skills under the guidance of industry professionals. With a strong focus on AI ethics and impactful data science, STEAM in AI prepares students for future AI careers and strengthens their college applications by helping them develop and showcase meaningful AI projects.STEAM in AI is the only program that offers a comprehensive curriculum that uniquely integrates Data Science, Fundamentals of AI, Design Thinking, Entrepreneurship, AI Development (including agents and workflows), and Research, all underpinned by a strong foundation in AI Ethics and Social Impact.
STEAM in AI Students have the opportunity to work on exciting
AI Projects across Industries, Domains and Careers
Presenting 3 Distinct STEAM in AI Tracks
for Students in Grades 6-12
AI Ethics Pioneer
Level: Beginner
Ideal for: Middle and High School Students with little or no Programming Knowledge
The AI Ethics Pioneer track is designed for students beginning their journey into AI and ethical technology.
Created by faculty and mentors from Stanford, UC Berkeley, and MIT, this 4-week, 10-hour live mentor-led program introduces students to AI fundamentals, AI agents, and AI ethics through hands-on projects using no-code platforms.
Students will also learn the basics of AI’s social impact, creating a tangible project to showcase at the end.
By integrating ethical principles with AI project development, students will gain valuable experience that enhances their college applications and prepares them for future AI careers in responsible innovation.
AI Ethics Master
Level: Intermediate
Ideal for: Middle and High School Students with Basic AI and Programming Knowledge
The AI Ethics Master track is for students looking to deepen their understanding of AI, AI agents, AI Workflows and ethical technology, with a focus on Design Thinking and Entrepreneurship.
Created by faculty and mentors from Stanford, UC Berkeley, and MIT, this 8-week, 20-hour live mentor-led program challenges students to develop advanced AI projects, either through no-code platforms or coding tools, while applying ethical frameworks. Students will also explore Design Thinking and Entrepreneurial strategies to create impactful AI-driven solutions.
By building real-world projects that integrate social impact, this program not only prepares students for future AI careers but also enhances their college applications and provides a foundation for leadership in AI innovation.
AI Ethics Champion
Level: Advanced
Ideal for: Students who want to do an Independent Project in AI Research or Development
The AI Ethics Champion track is an advanced, 1:1 mentorship program for students ready to lead independent, socially impactful AI projects.
Created by faculty and mentors from Stanford, UC Berkeley, and MIT, this 8-week, 20-hour live mentor-led program enables students to design and develop advanced AI Solutions or AI Research.
Whether students are developing projects for science and engineering competitions, building their applications for prestigious pre-college programs, or pursuing patent opportunities, this program provides personalized mentorship to help them achieve their goals.
The focus on creating AI-driven solutions or research with social impact enhances students’ college applications and prepares them for leadership roles in the rapidly evolving AI field.
Duration: Cohort will meet 2.5 hours each session live with a Mentor for 4 Weeks + 1-2 hours per week self-study.
Format: Virtual
Duration: Cohort will meet 2.5 hours each session live with a Mentor for 8 Weeks + 2-3 hours per week self-study.
Format: Virtual
Duration: 1:1 Meeting with an Industry Mentor. Duration and Frequency dictated by Student and Mentor.
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!STEAM in AI is the only program that offers a comprehensive curriculum that uniquely integrates Data Science, Fundamentals of AI, Design Thinking, Entrepreneurship, AI Development (including agents and workflows), and Research, all underpinned by a strong foundation in AI Ethics and Social Impact.
While other programs may touch on one or two of these areas, STEAM in AI stands out for its interdisciplinary approach, hands-on project focus, and mentorship from industry professionals, making it a distinctive offering in this space.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!