The weekly schedule consists of days split between lectures and demonstrations in the morning, and time to work on a hands-on AI research project with societal implications in the afternoons.
Days begin with breakfast and lectures from Stanford faculty and graduate students, followed by teaching and demostrations. During the presentations, students engage with the day's lecturer and ask questions about their work and involvement in AI.
After lunch, students work on their research projects that will be presented at the end of the second week. Students work closely with Stanford graduate students, who serve as research instructors, to apply the machine learning techniques they learn to real problems and datasets and to get hands-on experience with how using AI tools can help make the world a better place.
Students have time to interact with our residential counselors to provide mentoring and help develop personal growth. They learn how to get involved in the AI community. Over the weekend, there will be field trips, as well as panels hosted by our industry sponsors so students can learn about career opportunities in AI and how they can stay connected with the community.
The program curriculum will include the following:
AI Education and Inspiration
- Lectures by Stanford AI professors.
- In-depth introductions to ongoing research projects in the AI Lab.
- Field trips to local companies involved in AI.
- Lectures by experts in career and personal development.
- Small-group mentoring session with AI faculty and senior AI researchers.
- Social events with Stanford AI graduate students.
- The program highlight is a small-group research project led by AI graduate students.
- Each research project will be focused around a societal impact of AI.
- Participants will give a group presentation of their work at the end of the program.
Past projects have included how to utilize natural-language processing to aid disaster relief; using computer vision to make hospitals safer; writing machine-learning algorithms to detect various cancers in the human genome; and programming autonomous cars to revolutionize transportation. Staff, faculty and members of the Stanford Artificial Intelligence Laboratory were all invited to the presentations.