Abstract

Language bias is pervasive in science. It affects who can participate, how research is evaluated, whether and how scientific findings are accessible and have impact, and how academic careers can progress. For historical reasons, English has become the ‘language of science.’ However, due to advances in AI translation tools, we may now be facing a tipping point. Could our field harness the power of these tools to break down language bias to achieve a more inclusive and impactful science? What would this involve? How can the IS field be at the front of this future?

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