Scott Moore is helping organizations rethink how they assess risk by using voice-based AI to detect deception and anomalies in ways that traditional screening methods cannot. As a leader at Clearspeed, Scott works on technology that analyzes vocal patterns to identify risk signals, helping insurance companies, financial institutions, and government agencies make faster, more accurate decisions about fraud, trust, and eligibility.
In this episode, Russ and Scott dig into how Clearspeed's voice AI works, why vocal analysis can surface risk signals that interviews and documents miss, what the light bulb moment looks like when organizations first see the technology in action, and how Clearspeed is navigating the ethical and regulatory questions that come with AI-powered risk assessment.
They also get into how Scott thinks about bias and fairness in AI risk tools, what the biggest misconceptions about voice AI are, how Clearspeed is expanding across industries, and what the future of AI-powered trust and risk assessment looks like as the technology matures.
Topics Covered:
- Welcome and intro; Scott Moore and Clearspeed
- How Clearspeed uses voice AI to detect risk and deception
- Why vocal analysis surfaces signals that traditional screening misses
- The light bulb moment when organizations first see the technology
- Bias, fairness, and ethics in AI-powered risk assessment
- Use cases across insurance, financial services, and government
- Navigating regulatory questions around voice AI
- The biggest misconceptions about voice-based risk detection
- How Clearspeed is expanding across industries
- The future of AI-powered trust and risk assessment