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Jessica Weaver
Jessica Weaver

Jessica Weaver, CAP-X

Founder
Mosaic Consulting, LLC
Bio

Jessica Weaver, PhD, is a Certified Analytics Professional – EXPERT (CAP-X), Certified Gallup Strengths Coach, Emotional Intelligence EQ-i 2.0 Coach, and the founder of Mosaic Consulting, LLC, a human-centered consulting firm that appreciates and celebrates the complexity of system-of-systems, human-machine teaming (HMT) in the workplace. With over 20 years of professional experience in operations research, analytics, systems engineering, data governance, and organizational psychology, Dr. Weaver brings a holistic perspective and approach to organizational problem solving, specializing in working with interdisciplinary and multidisciplinary professional teams. She is currently most excited about her coaching and facilitation roles, providing vital professional development and learning in topics such as communication, emotional intelligence, leadership, and change management. Her leadership philosophy is grounded in the belief that “technology does not solve problems; people do. Technology is merely a tool.”


How Can We Trust AI When We Are Not Sure We Can Trust the Data Scientists That Built It?

Data and AI are all anyone can talk about and yet data and the science of leveraging it to learn new insights, also known as data science, remain largely unregulated in the U.S. The occupation of data science grew rapidly in the last decade and many data-enabled organizations experienced backlash and public outcry with their mishandling of information, e.g., Google Flu, Target scandal, Facebook scraping, algorithm biases in hiring and criminal justice. Academia is trailing behind, creating more data science programs focused on the technology, but lacking in human subject research and ethics training. This is further complicated by the explosion of AI across every industry and its belief to be the panacea for every human-tech workflow bottleneck. This presentation will describe the research methodology in building a psychometric scale to measure ethical awareness in corporate data scientists, the challenges in working with this population, initial findings, and the continued need for humans in-the-loop of our data systems.

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