The Social Impact of Automating Translation
An Ethics of Care Perspective on Machine Translation
- 280 pages
- English
- ePUB (mobile friendly)
- Available on iOS & Android
The Social Impact of Automating Translation
An Ethics of Care Perspective on Machine Translation
About this book
This collection critically examines the practical impacts of machine translation (MT) through the lens of an ethics of care. It addresses the ideological issues in MT development linked to social hierarchies and explores the transformative potential of care ethics for more equitable technological progress.
The volume explores the ideological constructs behind MT as a labor-saving technology, how these constructs are embedded in both its development and social reception, and how they manifest in biased outputs. The chapters cover the cultural roots of translation automation, its legal and political implications, and the needs of various stakeholders. These stakeholders include lay users, Indigenous communities, institutions, educators, and professionals in an increasingly multicultural society. The book also addresses individuals who require translation daily with varying degrees of familiarity with their own translation needs and the tools available. Through critical engagement with the social impacts of MT, the book advocates for an epistemology of care to foster social equity and democratic values in technological progress.
This book will interest scholars in translation studies, law, and sociotechnology, as well as practicing translators, policymakers, technologists, and activists seeking ethical and inclusive approaches to machine translation and technological development.
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Information
Table of contents
- Cover
- Half-Title
- Series
- Title
- Copyright
- Contents
- List of Contributors
- Acknowledgments
- 1 Interconnected, Dependent, and Dependable Translation Automation: Toward an Ethics of Care in Machine Translation
- 2 The Cultural Roots of Translation Automation: Revealing Ideologies in Machine Translation
- 3 Harmful Effects of Machine Translation and Their Mitigation: A Preliminary Taxonomy
- 4 Risks for Lay Users in Machine Translation and Machine Translation Literacy
- 5 Unmasking Indigenous Invisibility: Empowering AI‑Driven Translation with Indigenous Participation
- 6 Gender Bias in Translation Automation: Addressing Bias and Inequality
- 7 Artificial Intelligence in Healthcare Translation: A Contemporary Systematic Review
- 8 Democracy, Artificial Intelligence, and Machine Translation: Some Legal Challenges
- 9 Machine Translation, Large Language Models, and Generative AI in the University Classroom: Toward a Pedagogy of Care
- 10 In Different Voices: The Roles of Public Machine Translation Studies
- References
- Index