HiKIDAI
AI Leaders Capstone · Venture Brief · Responsible AI Design
Prepared by:
Mission:
Date:
AI Venture Executive Brief
A one-page summary of your AI product — suitable for presentation to investors, policymakers, or an ethics board.
Problem & Mission
Describe the community problem, who it affects, and why an AI solution is appropriate now.
How the AI Works
What does it do? What data does it use? Who controls the data and how?
Data Sources Used
⬜ Health records
⬜ Gov't datasets
⬜ Survey data
⬜ Biometric
⬜ Location
⬜ Admin records
⬜ Financial
⬜ Legal records
⬜ Conversation
Data governance model:
Stakeholders at Risk
Name two groups most affected if the system fails or is misused.
Group 1:
Group 2:
Responsible AI Risk Overview
Power Structure Summary — Who Benefits / Who Bears Risk / Who Decides
📄 Phase 5 of 5 — Verdict & Reflection
Post-Verdict Reflection
Document your verdict, the board's key challenges, and what you would change in a second iteration.
✅
Approved with Commendation
Score: __ / 12 ⬜
🟡
Conditionally Approved
Score: __ / 12 ⬜
❌
Rejected — Redesign Required
Score: __ / 12 ⬜
What the Board Challenged Most
Which question or weakness did the board press hardest on?
Your Strongest Answer
Which Q&A response went well — and what made it strong?
What You Would Change First
If redesigning, what is the single most important change to make before resubmitting?
Conditions Placed on Approval (if conditional)
What specific requirements did the board attach to conditional approval?
Power Structure Rethink
After the session, does the power structure of your product look different from how you originally described it? If yes — what surprised you, and why does it matter?
🤖 Kai — Post-Session Discussion Prompts (For Parent / Teacher Use)
1. "The Ethics Review Board is a simulation. In the real world, who or what plays the role of the Ethics Review Board — and how effective are they?"
What to listen for: regulatory bodies, civil society organisations, journalists, academic researchers, and internal audit teams. Push students to assess which of these actually has the power to stop a harmful AI deployment — and whether that power is sufficient.
2. "Your product was designed to help a vulnerable community. Is it possible to build a tool that genuinely helps that community and also generates commercial value — or do those goals eventually come into conflict?"
The most sophisticated answers will examine mission drift, the incentive structures of different revenue models, and historical examples (e.g. social media platforms starting with genuine community-building goals). Push for specific mechanisms that could prevent drift.
3. "Every AI product has a power structure: who benefits, who bears the risk, who decides. After today — what would you do differently if you were actually building this?"
This is the capstone reflection. Listen for whether students connect the simulation to real-world responsibility. The goal is not a perfect product — it is a student who has genuinely grappled with the question of what responsible AI design requires of its designers.