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The Introduction explains important concepts and what they mean in this book. It also outlines the project scope, which covers both written and spoken uses of machine translation to fulfil communication and information access purposes in one of the sectors selected for analysis. Following a brief historical account of how social conceptions of machine translation have changed, the Introduction addresses a recent shift in translation research towards multilingual communication practices that take place outside education settings or the language services industry. Given how fast language technologies are evolving, it will not take long for the tools and types of human–computer interaction that appear in the book to change quite significantly. The Introduction addresses implications of this dynamic landscape for this book specifically and for translation and multilingual communication research more broadly.
Automated translations can break down language barriers and increase access to information, but they can also be highly inaccurate. This timely book explores the social challenges and ethical considerations of using artificial intelligence (AI) translations in high-stakes professional environments. Based on contributions from over two thousand professionals from critical sectors including healthcare, social work, emergency services and the police, the analysis explores the motivations and consequences of multilingual uses of AI across these sectors. Real-life examples provided throughout the book bring home the delicate balance of risks and benefits of using AI to serve and communicate with multilingual communities. By drawing on concepts such as virtue, trust, empathy and AI literacy, this book makes a case for nuance and flexibility, defends the value of language access, and calls for greater transparency in the development and deployment of AI translation tools. This title is also available as open access on Cambridge Core.
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