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Designing an AI-driven Neighborhood Navigator with Black and Latinx NYC Residents
April 20, 2022 @ 10:00 am - 11:00 am
Race and technology are closely intertwined, continuously influencing and reshaping one another. While algorithmic bias has received increased attention in recent years, it is only one of the many ways that technology and race intersect in computer science, public health, digital media, gaming, surveillance, and other domains. To build inclusive technologies that empower us all, we must understand how technologies and race construct one another and with what consequences.
Presentation by Dr. Desmond Upton Patton
Abstract:
An interdisciplinary team of social scientists, computer scientist, designers, and researchers from the SAFElab at Columbia University’s School of Social Work, School of Engineering and Applied Science and Data Science Institute partnered with the Research and Evaluation Center (REC) at John Jay College of Criminal Justice to develop a Neighborhood Navigator which assesses patterns and changes in the sentiment of quality of life, wellbeing, community, and living conditions among residents of New York City. The Neighborhood Navigator uses community focus groups and one-on-one interviews in concert with artificial intelligence (AI) techniques (e.g. natural language processing (NLP) and computer vision) to provide short-term, recurring feedback on resident sentiment. Over time, greater precision in the AI components could lead to reduced dependence on surveys and more cost-efficient sustainability. The tool will provide policymakers with insight into public sentiment about government work and allow them to respond accordingly.
