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FBL81: Rama Chellappa - Can We Trust AI?

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Content provided by Singularity University. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Singularity University 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://ro.player.fm/legal.

This week my guest is Rama Chellappa, a pioneering AI researcher and distinguished professor at John Hopkins University who recently published his book, Can We Trust AI?

In this episode we try to tackle the question posed by Rama’s book from many angles, exploring topics such as the transparency of AI in regards to the black box issue, the accountability issues for when programmers create algorithms that end lives, the reliability of self-driving cars to navigate an ever-changing environment, and much more. Ultimately, Rama puts forth an argument that is often overlooked: in a world of chaos where things will go wrong and nothing is perfect, are we holding AI to a standard that goes above what we even ask of our human peers?

Use code HAI30 for 30% off Can We Trust AI? when you order from Hopkins Press. Order here: https://bit.ly/3tSZ6K6

**

Host: Steven Parton - LinkedIn / Twitter

Music by: Amine el Filali

  continue reading

120 episoade

Artwork
iconDistribuie
 
Manage episode 348271415 series 3410203
Content provided by Singularity University. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Singularity University 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://ro.player.fm/legal.

This week my guest is Rama Chellappa, a pioneering AI researcher and distinguished professor at John Hopkins University who recently published his book, Can We Trust AI?

In this episode we try to tackle the question posed by Rama’s book from many angles, exploring topics such as the transparency of AI in regards to the black box issue, the accountability issues for when programmers create algorithms that end lives, the reliability of self-driving cars to navigate an ever-changing environment, and much more. Ultimately, Rama puts forth an argument that is often overlooked: in a world of chaos where things will go wrong and nothing is perfect, are we holding AI to a standard that goes above what we even ask of our human peers?

Use code HAI30 for 30% off Can We Trust AI? when you order from Hopkins Press. Order here: https://bit.ly/3tSZ6K6

**

Host: Steven Parton - LinkedIn / Twitter

Music by: Amine el Filali

  continue reading

120 episoade

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