Teaching and Learning with AI Conference

I'm the co-founder of verballi, where we build voice-verified assessment for higher-ed. Instead of trying to detect AI in student writing, we verify understanding through short spoken conversations. A student talks through their work in their own voice, and faculty get real evidence of learning. I started this after digging into how poorly text-based AI detectors actually perform. A Stanford study found they flagged 61% of essays by non-native English speakers as AI-written. You don't fix that with a better detector. You assess differently. I'm a Longwood University alum. Right now I'm running seven faculty pilots, with an two institutional pilots and an institution adoption for the fall 2026 academic year. Talk to me about:What academic integrity looks like once detection stops workingRunning a faculty pilot or bringing voice assessment to your campusThe equity gap in current AI detection toolsBuilding ed-tech that faculty actually trust