Episode 4: Data and Identity

Fireside Chats with Empathic Futures Lab

Empathic Futures Lab에서 제공하는 콘텐츠입니다. 에피소드, 그래픽, 팟캐스트 설명을 포함한 모든 팟캐스트 콘텐츠는 Empathic Futures Lab 또는 해당 팟캐스트 플랫폼 파트너가 직접 업로드하고 제공합니다. 누군가가 귀하의 허락 없이 귀하의 저작물을 사용하고 있다고 생각되는 경우 여기에 설명된 절차를 따르실 수 있습니다 https://ko.player.fm/legal.

7y ago 38:50

MP3•에피소드 홈

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?

33 에피소드

#Empathic Futures Lab #Arts #Graphic Design