Feminist AI: Critical Perspectives on Algorithms, Data, and Intelligent Machines

Feminist AI: Critical Perspectives on Algorithms,Data, and Intelligent Machines is the first volume to bring together leading feminist thinkers from across the disciplines to explore the impact of artificial intelligence (AI) and related data-driven technologies on human society. It aims to be a touchstone text for AI researchers concerned with the social impact of their systems, as well as theorists, students, and educators in the field of gender and technology. It showcases the vital contributions of feminist scholarship to thinking about AI, data, and intelligent machines and lays the groundwork for future feminist scholarship on AI.

Format: Hardback
Length: 432 pages
Publication date: 05 October 2023
Publisher: Oxford University Press

Feminist AI: Critical Perspectives on Algorithms, Data, and Intelligent Machines is a groundbreaking volume that brings together esteemed feminist scholars from diverse disciplines to examine the profound impact of artificial intelligence (AI) and related data-driven technologies on human society. In recent years, there has been a remarkable surge in the development and deployment of AI systems, accompanied by a growing body of critical assessments that have shed light on their societal implications. Feminist scholarship has played a pivotal role in these analyses, emphasizing the need for the AI sector to be accountable for designing and deploying AI in ways that promote social justice rather than undermine it.

This book serves as a vital resource for AI researchers, theorists, students, and educators interested in understanding the social implications of AI. It aims to provide a comprehensive and intersectional understanding of the risks and benefits of AI, approaching feminism as a political project that seeks to challenge various forms of injustice, social inequality, and structural relations of power.

Feminist AI showcases the significant contributions of feminist scholarship to the field of AI, data, and intelligent machines. It brings together scholars from a wide range of disciplines, including computer science, software engineering, medical sciences, political theory, anthropology, and literature. By bridging these diverse fields, the book offers a multi-faceted perspective on the complex relationship between AI and society.

In Chapter 5, the authors explore the historical roots of feminist AI and the challenges faced by women in the field. They examine how gender biases and stereotypes have been perpetuated through algorithmic decision-making and the lack of diversity in AI development teams. The chapter also highlights the importance of intersectionality in feminist AI, recognizing the interconnections between different forms of oppression and the need to address them collectively.

Chapter 12 delves into the ethical considerations surrounding AI, particularly in relation to privacy, surveillance, and autonomous systems. The authors argue that feminist ethics must be at the forefront of AI development to ensure that systems are designed with respect for human rights and dignity. They explore the potential risks and benefits of AI-powered surveillance and autonomous weapons, and advocate for regulations that prioritize human well-being and accountability.

Chapter 18 focuses on the role of AI in perpetuating gender inequality and discrimination. The authors examine how algorithmic bias and discrimination can manifest in various domains, such as employment, healthcare, and education. They discuss the need for more inclusive and equitable AI systems that challenge stereotypes and promote diversity and inclusion.

Throughout the book, the authors emphasize the importance of interdisciplinary collaboration and the need to engage with a wide range of stakeholders to ensure that AI is developed and deployed in socially responsible and ethical ways. They call upon the AI sector to embrace feminist principles and to prioritize the well-being and rights of all individuals and communities affected by AI.

Feminist AI: Critical Perspectives on Algorithms, Data, and Intelligent Machines is a groundbreaking work that contributes to the ongoing debate about the social impact of AI. It provides a comprehensive and intersectional understanding of the risks and benefits of AI, approaches feminism as a political project, and lays the groundwork for future feminist scholarship in the field. This book is a must-read for anyone interested in understanding the complex relationship between AI and society and in working towards a more just and equitable future.

Weight: 860g
Dimension: 161 x 242 x 29 (mm)
ISBN-13: 9780192889898