Your hospital deploys an AI-powered patient triage tool. During a routine review, a clinician notices that patients from lower-income zip codes are consistently flagged as "low priority" despite similar symptom severity. What's the most responsible first action? 🏥
Select the answer that best reflects your organization's approach.
Your bank's automated lending algorithm has a 94% approval accuracy rate overall. However, a regulatory body flags that approval rates for applicants with Hispanic surnames are 31% lower than demographically matched peers. How does your organization respond? 💳
Pick the approach closest to what your institution would realistically take.
Your company uses an AI resume screener that was trained on 10 years of historical hires. An internal audit reveals that female candidates from non-Ivy League schools are shortlisted at half the rate of their male counterparts with equivalent qualifications. What governance step should come first? 👩💼
Think about what your HR or compliance team would do right now.
Your retail platform's recommendation engine shows luxury product categories predominantly to users in high-income neighborhoods and budget options to users in lower-income areas — automatically, based on browsing history and location. Which statement best describes your organisation's position? 🛍️
Be honest — what's closest to how your team currently thinks about this?
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