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Episode 4: Data and Identity

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Manage episode 210625486 series 2363710
Content provided by Empathic Futures Lab. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Empathic Futures Lab or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ppacc.player.fm/legal.

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?

  continue reading

33 episodes

Artwork
iconShare
 
Manage episode 210625486 series 2363710
Content provided by Empathic Futures Lab. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Empathic Futures Lab or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ppacc.player.fm/legal.

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?

  continue reading

33 episodes

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