How Search Engines Show Their Bias: Orestis Papakyriakopoulos, Princeton University, and Arwa Michelle Mboya, MIT

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A tartalmat a Aaron Nathans, Princeton University School of Engineering, and Applied Science biztosítja. Az összes podcast-tartalmat, beleértve az epizódokat, grafikákat és podcast-leírásokat, közvetlenül a Aaron Nathans, Princeton University School of Engineering, and Applied Science vagy a podcast platform partnere tölti fel és biztosítja. Ha úgy gondolja, hogy valaki az Ön engedélye nélkül használja fel a szerzői joggal védett művét, kövesse az itt leírt folyamatot https://hu.player.fm/legal.

4y ago 39:16

MP3•Epizód kép

Today’s guests have written a study about the Google Search engine, and the subtle – and not-so-subtle – ways in which it shows its bias, and in many ways perpetuates tired old stereotypes. Orestis Papakyriakopoulos is a postdoctoral research associate at Princeton’s Center for Information Technology Policy. His research showcases political issues and provides ideas, frameworks, and practical solutions towards just, inclusive and participatory algorithms. Arwa Michelle Mboya is a research assistant at the MIT Media Lab. She is a virtual reality programmer and researcher who investigates the socio-economic effects of enhanced imagination. 

8 epizódok

#Tech #Tech News #Gadgets #Aaron Nathans #Applied Science #Princeton University School of Engineering #Princeton University