AI + Journalism
Journalism and AI Research Projects for High School Students
Artificial intelligence is transforming how we increase efficiency in news organizations, detect and prevent fake news, curate personalized news feeds for readers, and understand the overall journalism field. In the AI Scholars program, high school students can work on a project at the intersection of AI + journalism.
Sample AI + Journalism Projects from Past AI Scholars Students
AI + Journalism
Create machine learning models to identify fake news websites, helping Internet users find reliable sources of information.
Developed by:
Karan Singhal
Stanford University
AI + Refugee Tweet Analysis
Run accurate, fast, and precise models to root out hate speech on social media using natural language processing.
Developed by:
Aansh Shah
Brown University
AI + Safe ChatGPT
Using an understanding of AI, machine learning, and NLP to use ChatGPT to build a truthful chatbot and avoid “fake-proofing.”
Developed by:
Phil Bell
Oxford University
Meet Our AI + Journalism Curriculum Advisors
Karan Singhal
Master’s and Bachelor’s in Computer Science | Stanford University
Karan earned his joint MS and BS in Computer Science at Stanford, where he co-instructed Stanford's AI For Social Good class.
Aansh Shah
Master’s in Computer Science | Brown University
Aansh earned his Bachelor's in Applied Mathematics and Computer Science, as well as his Master's in Computer Science at Brown. He is currently an engineer at Amazon, where he works on AI for Alexa. Aansh's interests include explainability in AI and deploying models at scale in the world.
Phil Bell
M.Ed. International Policy Education | Harvard University | Bachelor’s | Oxford University
Phil Bell received a Bachelor's from Oxford University and a Master's in Education from Harvard Graduate School of Education. Phil is currently a product manager for an education startup.
AI Scholars Program Overview
AI Scholars Live Online is a 10 session (25-hour) artificial intelligence bootcamp that exposes high school students to fundamental AI concepts and guides them to build a socially impactful project. Taught by our team of graduate students from Stanford, MIT, and more, students receive a personalized learning experience in small groups with a student-teacher ratio of 5:1.
