Summary of Ruha Benjamin's Race After Technology , livre ebook

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21 pages

English

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Description

Please note: This is a companion version & not the original book.
Sample Book Insights:
#1 The Beauty AI initiative involved a few straightforward steps: contestants download the Beauty AI app, make a selfie, and submit it to the robot jury. The robot jury chooses a king and a queen. News spreads around the world.
#2 Deep learning is a subfield of machine learning that uses depth to describe the layers of abstraction a computer program makes as it learns more complicated concepts. It is used for image recognition, speech recognition, natural language processing, video game and board game programs, and even medical diagnosis.
#3 The development of Beauty AI is just an example of how race is a form of technology. It extends beyond just attractiveness and into questions of health, intelligence, criminality, employment, and many other fields.
#4 Racist robots represent a much broader process: social bias embedded in technical artifacts, the allure of objectivity without public accountability.

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Sociology

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Publié par	Everest Media LLC
Date de parution	05 avril 2022
Nombre de lectures	0
EAN13	9781669378020
Langue	English
Poids de l'ouvrage	1 Mo

Informations légales : prix de location à la page 0,0150€. Cette information est donnée uniquement à titre indicatif conformément à la législation en vigueur.

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Insights on Ruha Benjamin's Race After Technology
Contents Insights from Chapter 1 Insights from Chapter 2 Insights from Chapter 3 Insights from Chapter 4 Insights from Chapter 5
Insights from Chapter 1

#1

The Beauty AI initiative involved a few straightforward steps: contestants download the Beauty AI app, make a selfie, and submit it to the robot jury. The robot jury chooses a king and a queen. News spreads around the world.

#2

Deep learning is a subfield of machine learning that uses depth to describe the layers of abstraction a computer program makes as it learns more complicated concepts. It is used for image recognition, speech recognition, natural language processing, video game and board game programs, and even medical diagnosis.

#3

The development of Beauty AI is just an example of how race is a form of technology. It extends beyond just attractiveness and into questions of health, intelligence, criminality, employment, and many other fields.

#4

Racist robots represent a much broader process: social bias embedded in technical artifacts, the allure of objectivity without public accountability.

#5

Humans are toolmakers. And robots, we might say, are humanity’s finest handiwork. In popular culture, robots are typically portrayed as humanoids, more efficient and less sentimental than humans. But when the line between maker and made becomes too blurred, it freak people out.

#6

The relationship between robots and race is not just fluff magazine article material. It is built into the tech industry, and racism is a part of that.

#7

The raw data that machines are using to learn and make decisions about the world reflects deeply ingrained cultural prejudices and structural hierarchies. As machines become more intelligent, this is not inevitable, so long as we begin to take seriously and address the matter of how racism structures the social and technical components of design.

#8

Because robots are not sentient beings, it is wrong to assume that racism only exists in the heart of a person who intends to harm someone else. Too many people believe that racism only exists when there is an intent to harm. But this is not the case.

#9

The idea that racist intentions are always present is false. While some technical decisions may be guided by the intention to harm or exclude, these motivations often stand in tension with aims framed more benevolently.

#10

The MIT data sci