Online Academic Information:
Students enrolled in Carnegie Mellon’s AI4ALL remote offering will experience the same academic rigor and engagement that the program typically delivers in-person/the residential setting. Participants will attend lectures by Carnegie Mellon faculty with expertise in various aspects of computing and artificial intelligence. Project based learning will supplement classroom experiences and offer students an opportunity to apply learned concepts to real world challenges.
Outside of the academic experience students will engage virtually with industry leaders to learn about the vast opportunities in the field. Students will have an opportunity to be mentored by industry leaders throughout the country. At the conclusion of the program students will receive a comprehensive evaluation which can be integrated into their academic portfolios for college admission purposes.
The online academic schedule for the AI4ALL program is 12-6pm EST, Monday through Friday.
For specific questions related to how the curriculum and student experience will be delivered in a virtual framework please email email@example.com
- Required hardware and wireless connectivity. If students do not have a computer or access to the internet, please let us know and a solution will be found to allow participation.
- U.S. Location. The Program is available only to individuals in the United States. Students are required to be physically located in the United States at all times when accessing Program courses and/or activities.
The AI4All @ Carnegie Mellon summer program provides opportunities for students from underrepresented communities to study artificial intelligence with full-time faculty, staff and researchers who are leaders in the field.
There is a diversity crisis in AI and computer science: a homogenous group of technologists are building AI solutions for a diverse population. The global economic impact of AI is expected to reach $15.7 trillion by 2030, but less than 14% of AI researchers globally are women, and Black and Hispanic men and women make up less than 11% of people employed in U.S. STEM jobs. This lack of diversity results in biased AI products that, at best, don’t serve everyone. At worst, they actively harm underrepresented groups. It's crucial to take action to ensure that everyone has the opportunity to guide the creation of AI as a tool for good.
AI4ALL is a U.S.-based nonprofit dedicated to increasing diversity and inclusion in AI education, research, development and policy. One way they accomplish that is by offering summer programs at 11 universities across the nation, including Carnegie Mellon. The program is free, and students reside on campus, where they are immersed in hands-on learning, and develop a supportive peer network that will help them throughout their AI careers.
The program curriculum includes the following:
- Lectures by Carnegie Mellon professors
- In-depth introduction to ongoing research projects from faculty
- Field trip to AI industry leaders where students are introduced to people, topics and career opportunities
- Discussions lead by experts in career and personal development
- Small group mentoring with AI faculty and graduate students
- Social events with peers
- Small-group research project led by faculty or graduate students; projects focus on using AI for societal good
- Group presentations showcasing work at the end of the program
To be eligible for AI4All @ Carnegie Mellon students must:
- Be at least 16 years old by the program start date.
- Be a U.S. citizen or permanent resident.
- Be a current sophomore or junior in high school.
Students selected for the AI4All @ Carnegie Mellon program have the following qualities:
- Have experience that demonstrates a commitment to diversity and inclusion in education, extra-curricular activities, or community engagement.
- Demonstrate strong interest in Computer Science.
- No coding experience is necessary.
We strongly encourage students from the following backgrounds to apply:
- Underrepresented in Computer Science, defined as being African American, Hispanic/Latino or Native American
- Low socioeconomic status, which may be indicated by eligibility for public assistance programs or free/reduced lunch
- Raised in home where English was a second language
- First generation college students (neither parent completed a bachelor’s degree)
- Currently attending a high school with historically low rates of admittance to top-tier institutions
All applicants who meet the eligibility requirements will be considered.
Carnegie Mellon University does not discriminate in admission, employment or administration of its programs or activities on the basis of race, color, national origin, sex, handicap or disability, age, sexual orientation, gender identity, religion, creed, ancestry, belief, veteran status or genetic information. Furthermore, Carnegie Mellon University does not discriminate and is required not to discriminate in violation of federal, state or local laws or executive orders.
Inquiries concerning the application of and compliance with this statement should be directed to the university ombudsman, Carnegie Mellon University, 5000 Forbes Avenue, Pittsburgh, PA 15213, telephone 412-268-3930.
Obtain general information about Carnegie Mellon University by calling 412-268-2000.
The complete application for AI4All @ Carnegie Mellon will consist of the following:
- Online Application
- Unofficial high school transcript
- Standardized Test Scores (optional)
- One counselor recommendation (written by a school counselor or community-based organization advisor)
- One teacher recommendation (written by a teacher in a STEM field).
- Response to the following essay prompts (300-500 words):
- What do you hope to gain from participating in the Carnegie Mellon Pre-College program?
- Responses to the following AI4All @ Carnegie Mellon short answer questions (300-500 words):
- Please describe any obstacles that you have had to overcome in the pursuit of your scientific studies.
- What does diversity and inclusion mean to you? Is diversity important in AI, why or why not? Describe your past efforts, as well as future plans to advance diversity, equity, and inclusion in science and technology.