How AI Learns Bias from Emergency Call Transcripts

AI Ethics with Fexingo: Bias, Safety, and Responsible Artificial Intelligence · Aug 28, 2026 · 8m

In this episode of AI Ethics with Fexingo, Lucas and Luna unpack a disturbing pattern: AI systems trained on emergency call transcripts can absorb and amplify the very biases that lead to unequal response times. They trace a specific example — a 911 call about a suspected heart attack where the caller's panic and a regional accent lead the AI to under-prioritize the call — and explain how the model learns from historical response data that already reflects systemic disparities. They also discuss emerging solutions, from bias audits to reweighting training data, and what it means for public…