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From racial profiling through facial recognition software used by law enforcement to algorithms that unfairly target Black and brown users with subpar services and subprime financial practices, biases in the way technology is developed and used are rampant and must be intercepted before they do further damage. The Metaverse – a new combination of emerging technologies including artificial intelligence (AI), extended reality (XR), and blockchain – will create a virtual world for various aspects of human life, from social connections to e-commerce. But will the same algorithmic biases of our current technology carry over to a virtual world? Drawing from his extensive research and fieldwork, Dr. Desmond Upton Patton, Penn Integrates Knowledge University Professor at the University of Pennsylvania, founder of SAFElab explains how data scientists, designers, and engineers can prevent bias in AI by collaborating with social science professionals who can help them become more aware of the unintended harms being built into technologies they develop. He also highlights the many ways organizations, developers, users, and society stand to benefit from such collaboration. This important presentation is geared toward organizations, professionals, and policymakers involved in the development and regulation of emerging technologies.