TY - CHAP
T1 - Power in AI
T2 - Inequality Within and Without the Algorithm
AU - Devlin, Kate
N1 - Publisher Copyright:
© 2023 John Wiley & Sons, Inc. All rights reserved.
PY - 2023/11/6
Y1 - 2023/11/6
N2 - The birth of Artificial Intelligence in the 1950s was a birth that did not involve women. Despite female labour being used to solve problems that machines would one day automate, women remained unseen, their voices limited. Today, inequality is still rife. Bias, discrimination, and harm are algorithmically perpetuated and amplified. AI is technocratic, with multinationals in the US and China leading development, and the global South being left behind. Even within Silicon Valley, the environment is hostile towards women: from the products being created to the people calling for ethical and responsible development, women are losing out. This chapter explores the layers of imbalance in gender, race, and power in AI, from the beginnings of the discipline to the present day, from the development environment to the algorithms themselves, and highlights the challenges that need to be faced to move towards a more equitable landscape.
AB - The birth of Artificial Intelligence in the 1950s was a birth that did not involve women. Despite female labour being used to solve problems that machines would one day automate, women remained unseen, their voices limited. Today, inequality is still rife. Bias, discrimination, and harm are algorithmically perpetuated and amplified. AI is technocratic, with multinationals in the US and China leading development, and the global South being left behind. Even within Silicon Valley, the environment is hostile towards women: from the products being created to the people calling for ethical and responsible development, women are losing out. This chapter explores the layers of imbalance in gender, race, and power in AI, from the beginnings of the discipline to the present day, from the development environment to the algorithms themselves, and highlights the challenges that need to be faced to move towards a more equitable landscape.
KW - Artificial Intelligence (AI)
KW - gender
KW - human rights
KW - bias
KW - Intersectionality
KW - media and communication
UR - http://www.scopus.com/inward/record.url?scp=85179635239&partnerID=8YFLogxK
U2 - 10.1002/9781119800729.ch8
DO - 10.1002/9781119800729.ch8
M3 - Chapter
SN - 9781119800682
T3 - Global Handbooks in Media and Communications Research
SP - 123
EP - 139
BT - The Handbook of Gender, Communication, and Women's Human Rights
A2 - Gallagher, Margaret
A2 - Vega Montiel, Amy
PB - WILEY-BLACKWELL
ER -