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Beyond using AI. Towards building AI that understands us. AI is here to stay. The question is whether we will understand it well enough to shape how it works for our people, our languages, our culture and our everyday challenges. AI in Our Daily Lives is an open, four-hour conversation - with live demos and working groups - about how artificial intelligence affects our society, what it may fail to understand about us, and what we can begin to build ourselves. Three questions for the room 01 - What are we already trusting AI to do? AI in education, work, business, communication and everyday decisions. 02 - What does AI fail to understand about us? Language, culture, bias, privacy, misinformation and local context, explored with real examples. 03 - What should we start building ourselves? Real local problems, people with complementary skills and first project teams. The Local AI Problem Lab In small groups we will pick a real local problem - in language and culture, education, small business, agriculture or public and community services - and work out who it affects, what is missing today, whether AI would actually help (or a simpler solution would work better), and the smallest useful experiment we could run in 30 days. Who should come Students, developers, AI enthusiasts, researchers, educators, entrepreneurs, creatives, business owners, community practitioners and anyone curious about AI. No coding experience needed. What makes this different This is not just a talk. You leave with a clearer understanding of AI, new collaborators and a concrete next step. Teams formed on the day continue with a 30-day follow-up. Seats are limited to 60. Register to get your ticket by email - and share this page with someone who should be in the room. Learn AI. Question AI. Build with AI. Solve for our realities.
Welcome and opening question
Why we are here - and where AI already affects your life
AI from zero
A plain-language foundation: what AI is, what it can and cannot do
AI in practice: opportunity and limits
Live demos across learning, business and local-language use - with honest limitations
Networking break
Meet someone with a different skill or perspective
Does AI understand our realities?
Local language, cultural context, bias, privacy and misinformation - with real examples
The AI debate
Can we rely on AI systems we do not fully understand? What should local capability look like?
Short break
Local AI problem lab
Small groups define a local problem, who it affects, what evidence is needed and whether AI is appropriate
Pitches and team sign-up
Share the most promising problems, vote on priorities and join a team
Closing and next steps
Follow-up plan, community channel and the first project check-in
Venue
KadQuantumHub, No 2/3 Yakubu Gowon Way, opposite TajBank, Leventis Bridge, Kaduna
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