Gen AI Voices helps young people explore AI through research, mentorship, and publication, turning questions into discoveries and discoveries into public insight. In her founder’s letter, Eileen Fein reflects on how one question sparked a program where the next generation leads the conversation on AI’s future.

Twelve-year-old Maya L. explored how artificial intelligence can help scientists track bee populations and protect pollinators. Her project shows how technology can inspire environmental awareness and remind us that caring for nature starts with curiosity and small actions, even for the youngest researchers.

Fifteen-year-old Lila M. examined how students use AI tools for homework and learning. Her research found that while AI makes schoolwork faster, it can also weaken curiosity and understanding, reminding us that true learning still depends on reflection, effort, and asking deeper questions.

Seventeen-year-old Daniel R. used satellite data and machine learning to study drought risk in the American Southwest. His project shows how accessible AI tools can help communities predict and prepare for environmental change before the first signs of crisis appear.

Sixteen-year-old Sofia T. uncovered bias in an image-classification model that mislabeled women in lab coats as nurses more often than scientists. Her research reveals how fairness in AI begins with human choices and the responsibility we carry when teaching machines to learn from us.

Seventeen-year-old Sophie K. explores how food delivery robots are designed to look cute and humanlike, inspiring empathy even when they replace real workers. Her essay asks what happens when our compassion is redirected toward machines and how design choices shape the way we feel about technology.