Episode 4: Data and Identity

In this episode, we discuss the ramifications that ML/AI has on the privacy and identity. In particular, what design implications and solutions are incurred. The following topics come up during this discussion. 

We discuss this great article in the NY Times on explainable AI: https://www.nytimes.com/2017/11/21/magazine/can-ai-be-taught-to-explain-itself.html

How can we reverse or change our identity in a time when are current selves are made up all the data produced by our past selves (data inertia). 

What does it mean to society if ML algorithms are digging up knowledge that we are not prepared to embrace? ML has no taboos, it just finds patterns. 

Life Designers in the future: can a person work in tandem with machines to curate our lives? What does that mean for our quality of life? How does that influence how we relate to each other?