From Self-driving to Autonomous Voice Agents — Brooke Hopkins, Coval
This talk draws parallels between the development of self-driving car technology and the creation of robust evaluation strategies for autonomous voice agents. The core thesis is that the challenges and solutions in achieving reliability and scalability in self-driving can inform how we build trustworthy and effective voice AI systems. By adopting principles like large-scale simulation and continuous evaluation loops, developers can move beyond the limitations of deterministic approaches and unpredictable autonomous agents.
World's Fair 2025 20 min