As organizations adopt AI to scale training and provide feedback, the risk of unintentionally reinforcing existing disparities grows, especially through tools that interpret speech, accent, tone, or delivery. This guide outlines what to watch for and how to design more equitable learning experiences.
What You’ll Learn:
- Where bias shows up in AI-powered coaching platforms
- Why speech patterns and accents can affect transcription and feedback accuracy
- How biometric data use (like voice and facial recognition) poses ethical and legal risks
- Best practices to reduce bias and build trust in AI-driven learning
- Key safeguards that organizations can implement now
Why This Matters:
Asynchronous video coaching is powerful—but only when it's fair. Without intentional safeguards, AI systems may deliver uneven experiences that exclude, misjudge, or even harm underrepresented employees.
This eBook helps L&D leaders think critically about how AI is applied in coaching, so you can build systems that empower all learners equally.
