See how Harvard students really use AI, and how the apps on your phone predict what you want. Led by Harvard student mentor Tanvir Haque, live on Zoom, for students, parents and educators.
Complimentary · Register for one session or both.
Two sessions on recommendation engines and frontier AI. Register for one session or both. Each webinar lasts 60 minutes, with questions through the chat.
A look at how Harvard students really use AI in their day-to-day academic work, where they draw the line, and how students can make AI a study partner rather than a shortcut.
See how Harvard students use AI to study, research and plan their work
Learn where top students draw the line, and why it matters for honest learning
Pick up simple habits for getting better, more reliable answers from AI
Leave with a clear idea of how to make AI a study partner, not a shortcut
Apps seem to know what students want before they do. This session explains how that prediction works, what data devices collect, and how students can take back control.
Understand how apps predict what you'll watch, buy or search next
Learn what data your phone and laptop collect, and how AI turns it into guesses about you
Find out whether your phone is really "listening" to your conversations
Learn practical ways to take back control of your feed and your privacy
Led by Tanvir Haque for both masterclasses in the series.
HARVARD COLLEGE · A.B. COMPUTER SCIENCE
Undergraduate at Harvard College pursuing an A.B. degree in Computer Science.
He previously worked as a Strategy & Operations Consulting Intern at GMA Foundations, where he gained experience in consulting, client relationship management, and developing strategic recommendations for philanthropic organizations. He has also conducted research with the National Science Foundation focused on air quality.
In addition, Tanvir has experience in software engineering and artificial intelligence, including building web applications and working with AI-powered technologies. At Harvard, he is actively involved in student leadership and has broader interests in technology, consulting, entrepreneurship, and research.
Not a sales webinar. A genuine teaching session designed by the same team that delivers the Future AI Leaders Fellowship curriculum.
Led by Tanvir Haque, a current Harvard undergraduate studying Computer Science, with research and hands-on AI experience.
Live Zoom webinars with questions through the chat.
Registered attendees receive the recording within 48 hours. Catch up anytime.
November 1 and November 7, 2026. Live on Zoom with Harvard student mentors. Open to Grades 9–12, parents and educators. Registration is complimentary.