STEAM in AI is a transformative Data + AI Ethics Intensive that helps High School Students learn fundamentals of Data and AI Ethics, stand out in College Applications through experiential storytelling and prepare for Jobs of the Future

Developed by former Stanford and UC Berkeley Adjunct Professor, MIT Mentor $100K Entrepreneurship Competition, Data and AI Ethics thought leader from Silicon Valley who is invited to speak about the Ethics of Generative AI to audiences such as the U.S. Department of Defense and the California Department of Education.

STEAM in AI provides College Prep, Data Science, Data Analytics, Research, AI model building, Career Mentoring and Experiential Learning to High School Students with a strong foundation of Data + AI Ethics!!

Are you a High Schooler interested in working on a life changing AI project that will help you learn skills needed for jobs of the future, stand out in college applications and help you create big societal impact?

Winter 2023 Cohort Project Ideas

Look no further!! STEAM in AIᵀᴹ Winter 2023 Cohort is bringing 2 exciting opportunities to work on AI Projects for students interested in Engineering, Data Science, Pre-Med, Politics, Business and more.

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.

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.

Register for Winter 2023


Hear from STEAM in AI Graduates

STEAM in AI helped me fall in love with Programming
STEAM in AI Testimonial Yi Cheng

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.


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.

Tweet Sentiment Analysis with Machine Learning A STEAM in AI Project
Analyzing Building Architecture with Computer Vision A STEAM in AI Project

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.

Building a Depolarization GPT AI A STEAM in AI Project-Yi Cheng
STEAM in AI Research_Exploring AI-Based Classification of ACL Tears

Register for Winter 2023


Our Network of Mentors

Carnegie Mellon University
Massachusetts Institute of Technology
Santa Clara University Logo
UC Santa Barbara
Roche Genentech logo
Turo logo

Program Details

STEAM in AI is a transformative Program, where students are empowered to explore the fascinating world of AI while emphasizing the critical aspect of ethics.

STEAM in AI believes in mentor-led experiential learning. This program connects middle, high school and college students with expert mentors who are either PhD students or professionals in the Data and AI industry. This unique opportunity ensures that students receive firsthand guidance from those who are actively shaping the field.

The duration of this Program developed by Shilpi Agarwal, Founder and CEO of DataEthics4All Foundation, former Stanford, UC Berkeley Faculty, MIT Mentor is 10 Weeks.

Students meet with their Mentor every week for 2 hours for a total of 20 hours in a small cohort.

Mentor to Student ratio per cohort is 1:5. The Program is 100% Virtual.

We have 3 Tracks to choose from: Fundamental, Master and Full-Immersion.

Students have an opportunity to learn the fundamentals of data science, basics of coding, ethical consideration in Data and Artificial Intelligence, build an AI Model and work on a group research paper depending upon the track they choose.

At the end of 10 Weeks, Students will have an opportunity to submit an AI Project on Github and have their name as a contributor to the Research Paper. They will also earn a Certificate of Completion.

U.S. Students may apply for a need-based Scholarship.

STEAM in AI College Prep, Career Mentoring and Experiential Learning Intensive for High School Students
STEAM in AI Foundation Track

Foundation Track: Designed for Students in Middle and High School (Grades 7-12)

AI Ethics + Data Science + Data Analytics + Data Visualization

STEAM in AI Master Track

Master Track: Designed for Students in High School (Grades 9-12)

AI Ethics + Data Science + Coding + AI Model Building

STEAM in AI Full Immersion Track

Full Immersion Track: Designed for Students in High School and College (Grades 9-12, College Freshman or Sophomore)

AI Ethics + Data Science + Coding + AI Model Building + Research

Register for Winter 2023


Through STEAM in AI College Prep, Career Mentoring and Experiential Learning

Our Mission is to Raise the next generation of Ethics 1st Data and AI Champions

Data Scientists
Business Analysts
Policy Makers
And more

This Program can help you explore and narrow it down

This Program can help you give a taste of what to expect in that field.

You know what you want to pursue in College. Let us help you get there.


STEAM in AI is a Program brought by DataEthics4All Foundation

What is STEAM in AI?

The traditional definition of STEAM means Science, Technology, Engineering, Arts and Math. DataEthics4All Foundation's definition of STEAM also includes Sociology, Technical Education, Ethics, Analytics and Mentoring! Today, there exist many new linear as well as non-linear STEAM career paths that we'd like our students to be aware of and be able to take advantage of by choosing a career in STEAM whether or not Math, Science or Coding are their biggest passions. AI is going to be used in every Industry in the future from healthcare to construction and everything in between. DataEthics4All Foundation believes that combining the traditional with this new definition of STEAM will bring the much needed STEAM in AIᵀᴹ!!

We've taken into consideration these 10 important pillars of Artificial Intelligence

When developing our STEAM in AI College Prep, Research and Build Experiential Learning Program

Science and Technology

Science and Tech are the foundations of Artificial Intelligence. AI is built on mathematical models and algorithms that enable machines to learn and make decisions. It also requires a thorough understanding of the underlying scientific principles, such as data structures, computational statistics, and probability.


Engineering is also vital in AI, as it involves designing and developing intelligent systems. Engineers are responsible for building the software and hardware infrastructure that supports AI, including the development of new AI-based applications.


Art and design play a crucial role in AI as well. With the growing importance of human-computer interaction, it is essential to create user-friendly interfaces that people can easily understand and interact with. Art and design also help in creating visually appealing representations of data that can be understood by non-technical stakeholders.


Mathematics is at the core of AI, and many of the algorithms used in AI require advanced mathematical knowledge. Linear algebra, calculus, and probability theory are just some of the mathematical concepts that are essential in AI.


Sociology is the study of human behavior and social relationships, and it plays a vital role in AI. AI systems are designed to interact with people, and understanding human behavior and social relationships is critical in creating AI that is effective and meets the needs of users. By incorporating sociological principles in AI development, we can create systems that are more responsive to social and cultural contexts, making them more useful and acceptable to users.

Technical Education

Technical education provides students with the knowledge and skills necessary to develop and implement AI systems. Technical education helps students understand the underlying principles and technologies that are essential in AI development, such as computer programming, data analysis, and machine learning. Technical education also helps students learn how to apply these principles in real-world situations, making them better equipped to solve real-world problems using AI.


Ethics is critical in AI development because AI systems can have significant impacts on society. Ethical considerations, such as privacy, fairness, and accountability, need to be taken into account when developing and implementing AI systems. Incorporating ethics into AI development ensures that AI systems are developed responsibly and do not cause harm to individuals or society.


Analytics involves the use of data analysis to gain insights into complex systems. Analytics is critical in AI development because it helps us understand patterns and trends in data, which is essential in developing effective AI systems. By analyzing data, we can develop algorithms and models that are more accurate and reliable, making AI systems more effective.


Mentoring is essential in STEAM in AI because it provides students with the guidance and support they need to develop their skills and knowledge in AI. Mentors can provide students with insights into real-world applications of AI and help them develop practical skills that can be used in AI development. Mentoring also helps students develop critical thinking skills and learn how to work effectively in interdisciplinary teams, which is essential in AI development.

Integrating these 10 important Pillars is essential because it allows us to develop a holistic approach to AI development

Truly bringing the STEAM in AI

By incorporating these disciplines into AI development, we can create systems that are more effective, responsive to users' needs, and developed responsibly.

Register for Winter 2023



How to get started?

Easy 4 Step Process


Apply to join as a Student



Get invited to an Interview



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.

DataEthics4All Foundation is a U.S. Department of Education Engage Every Student Ally

U.S. Department of Education

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.

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.

How DataEthics4All Foundation STEAM in AI is building an equity driven workforce US Chamber of Commerce Foundation

Take advantage of our Data and AI Ethics Ecosystem

Great Network of Data and AI Experts

DataEthics4All Foundation is a Presidential Volunteer Service Award Certifying Organization and has built a Community of 1500 Data and AI Practitioners and Students from 71 Countries across the Globe.

Presidential Volunteer Service Award banner

Participate in our Ethics 1st Data + AI Challenges. Earn Volunteer Hours. If eligible, also accrue your Volunteer Hours towards the Presidential Volunteer Service Award.

DataEthics4All AI Youth Council

Unique Leadership opportunity for STEAM in AI Graduates to earn a seat on the World's first Artificial Intelligence Council for Youth Leaders

A seat on the DataEthics4All Foundation's AI Youth Council is by invitation only. Students who have successfully completed the STEAM in AI College Prep Data + AI Intensive may be invited to have a seat on the prestigious AI Youth Council, World's first Council on Artificial Intelligence for Youth.

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.

Sustainable_Development_Goal_1_No Poverty
Sustainable_Development_Goal_2_Zero Hunger
Sustainable_Development_Goal_3_Good Health and Well Being
Sustainable_Development_Goal_4_Quality Education
Sustainable_Development_Goal_5_Gender Equality
Sustainable_Development_Goal_8 Decent Work and Economic Growth
Sustainable_Development_Goal_10 Reduced Inequalities
Sustainable_Development_Goal_17 Partnerships for the Goals

Register for Winter 2023