AI Fairness, Accountability & Diversity Assessment
Business Technology & Entrepreneurship – Industry Project Expo
Presenter Takeru Sonoda
Team TechDiversity AI Working Group
Key Findings
- Limited representation raises fairness risks
- Unclear ownership creates accountability gaps
- Diverse voices reveal overlooked scenarios
Approach
- Standards comparison (ISO 42005 / 42001)
- Stakeholder Insight Map
- Fairness & Accountability Gap Model
My Contribution
- Designed analytical models
- Structured risk identification logic
- Built DEI-focused assessment flow
Problem
- Hard to detect fairness / accountability risks in real AI use
- ISO 42005 / 42001 leave gaps on inclusion & transparency
Contact
- LinkedIn: linkedin.com/in/takeru-sonoda
- Email: 102784225@student.swin.edu.au