Fireside Chats with Empathic Futures Lab
Arts:Design
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?
Episode 13: Empathic inJustice
Episode 12: Sensors Save Us?
Episode 11: Filters are Us
Episode 10: The Infrastructure of US
Episode 9: Design in the Relationships
Episode 8: Flowing Environments
Episode 7: Becoming a Protopia
Episode 6: Design Trends for 2018, part 2
Episode 5: Design Trends for 2018, part 1
Episode 3: Standards vs. Customization
Episode 2: Post Thanksgiving Lightning Round
Episode 1: Home
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