Julia Taylor Rayz

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About

Dr. Julia Taylor Rayz is a leading researcher at the intersection of computational humor, cognitive computing, and artificial intelligence. Her work explores how computational systems can achieve human-friendly interaction, with a particular focus on enabling machines to understand and generate humor—a uniquely human cognitive capability. In her seminal 2017 paper, "In pursuit of human-friendly interaction with a computational system: Computational humor," she posed critical questions about when (not if) AI will grasp humor, opening new avenues for more natural human-machine dialogue. Dr. Taylor Rayz has also made foundational contributions to Cognitive Computing (CC) and Cognitive Informatics (CI), fields that provide the theoretical underpinnings for autonomous AI and brain-inspired intelligent systems. Her 2018 work on CC, alongside her participation in the 2022 plenary panel report on advances toward autonomous systems, underscores her role in shaping the transdisciplinary science of intelligence. With over 14 citations across her most-cited works, her research is gaining traction as AI strives for deeper cognitive alignment with humans. Dr. Taylor Rayz’s unique focus on computational humor positions her at the forefront of making AI not just smarter, but more relatable and human-aware.