Because Technology Discriminates

Anti-Racist Counter-Expertise

AvLogan D. A. Williams

Inbunden, Engelska, 2023

Del 27 i serien Synthesis Lectures on Engineers, Technology, & Society

430 kr

Beställningsvara. Skickas inom 10-15 vardagar. Fri frakt över 249 kr.

Fler format och utgåvor

Häftad

430 kr

Skickas inom 10-15 vardagar

Beskrivning

Engineers designing technologies and systems produce problems when they do not account for existing biases in society. This textbook is written for both students and practicing designers, engineers, researchers, or artists who want to create more ethical designs;

Produktinformation

Utgivningsdatum:2023-04-01
Mått:168 x 240 x 16 mm
Vikt:489 g
Format:Inbunden
Språk:Engelska
Serie:Synthesis Lectures on Engineers, Technology, & Society
Antal sidor:159
Förlag:Springer International Publishing AG
ISBN:9783031278679

Utforska kategorier

Mer om författaren

Logan D. A. Williams is a science and technology studies scholar who investigates knowledge from the margins. In addition to her science and technology studies PhD, she has a BS and MS in Mechanical Engineering. For her MS thesis she designed an ultrasound medical imaging technology. Her first book was a multi-sited global ethnography (India, Nepal, Mexico, Kenya, US). It highlighted the innovations created by ophthalmologists and engineers in South Asia and circulated to eradicate avoidable blindness among the world’s poor. More generally, her work explores technology users, technology design and technology governance typically in health and information technologies. She has previously been a tenure track professor in Lyman Briggs College and Sociology at Michigan State University and a lecturer in the A. James Clark School of Engineering at University of Maryland, College Park.

Innehållsförteckning

Introduction.- Race, Gender and the Myth of Technological Incompetence.- Your diverse design team is very competent: how to lead relationally.- The race audit: mitigating environmental racism in civil infrastructure.- Data racism, machine learning and the importance of context in design.- Designing sustainable organizations to create ethical designs.