AI for Kids Can Kids Really Use AI Safely? (Older kids, parents, & teachers)
Diya Wynn, Responsible AI Lead at Amazon Web Services, takes us on a remarkable journey from her childhood in the South Bronx to becoming a technology leader championing fairness in artificial intelligence. Her story begins with a pivotal moment at age eight when, after receiving a basic computer as an academic achievement award, she declared she wanted to be a computer engineer—a path that would shape her entire professional life.
What makes Diya's perspective so valuable is how she demystifies AI for families. Rather than presenting artificial intelligence as some futuristic concept, she helps us recognize how it's already woven into our daily lives through search engines, streaming recommendations, and customer service interactions. This familiarity makes AI more approachable for both parents and children navigating today's digital landscape.
For children curious about future careers, Diya offers reassuring guidance. As AI continues changing the job landscape, she emphasizes developing timeless human capabilities—critical thinking, problem-solving, emotional intelligence, and effective communication—that will remain valuable regardless of technological evolution. Her message inspires young listeners to approach technology with curiosity rather than fear.
Resources Mentioned in the Episode
- Amber invited kids (through their parents) to share stories or be guests.
Email: contact@aidigitales.com - Diya described her role leading Responsible AI initiatives at Amazon Web Services (AWS). AWS Responsible AI page: https://aws.amazon.com/ai/responsible-ai/
- Code.org – Free coding lessons and AI-related activities. https://code.org
- PartyRock by AWS – A fun, no-code way to create generative AI apps. https://partyrock.aws
- Google AI courses for beginners (referenced as free learning resources). https://ai.google/education/
- Microsoft Learn (free coding & AI training modules). https://learn.microsoft.com/training/
- Data Science Camp (DMV area) https://datasciencecamp.org
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