Description of Session
The pace of digital innovation is accelerating. As a result of consistent investments, new capabilities, and improving systems, the volume of data collected through traditional and novel methods has rapidly ballooned in recent years. These data sets are in turn informing new emerging technologies, driven by machine learning systems that draw on existing data to tailor insights. However, these exponential technologies learn from the material they are provided by human beings – data that sometimes excludes women and girls, youth and adolescents, minorities, and other historically marginalized groups. If our technology learns from these incomplete data sets, its insights will serve only a fraction of the global population, and millions will be left behind in the next wave of innovation. This talk will address these challenges through research anecdotes and personal narrative, and will challenge the audience to think differently about how it innovates and the technology it promotes.
