We are told that data doesn’t lie. But what if it doesn’t tell the whole truth? In the race to build an AI-powered future, we risk amplifying old biases with new technology, creating systems that serve the many while failing the few. It’s not a technical glitch; it’s a human problem of whose reality gets counted.
This session begins with a single, startling statistic that reveals the hidden inequities in our AI systems. From there, we will pivot from truth-telling to changemaking. We will explore a powerful story of how one leader, after seeing the harm hidden in the data, chose to stop asking for permission and start building a new model for data equity, one founded on the principles of permission, representation, and trust.
This is not a tech talk. It is an interactive dialogue about what it means to lead from the margins, challenge the script, and build the future you know is possible. Come prepared to reflect, discuss, and discover your own role in architecting a more equitable, human-centered world.
