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Louis Chude-Sokei
Race and Technology

Chude-Sokei explores the historical connections between race and technology. He looks back to the time of the transatlantic trade in enslaved people and works his way through various historical stages to current issues surrounding artificial intelligence.

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Machine Translation and Natural Language Processing

Reading through various studies on gender bias in machine translation, I stumble across the sentence: The doctor asked the nurse to help her. It’s used in a study that tests how gender is translated from English into languages which, unlike English, have grammatical gender. This attribution is particularly relevant when it comes to terms that label people. In English, for example, doctor is gender-neutral, whereas in German one would traditionally have to choose between ‘Arzt’ or ‘Ärztin’, the former a male doctor, the latter female. Intrigued, I open one of the most popular translation engines to see what happens when I translate this sentence into German.

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“Everyone shares the responsibility of reducing the unconscious bias in artificial intelligence”: An interview with Kenza Ait Si Abbou

As part of our macht.sprache. / case.sensitive. project, we’re speaking to various experts who deal with language, translation or artificial intelligence. Kenza Ait Si Abbou explains some of the challenges in the field of artificial intelligence to us (e.g. in form of unconscious bias) but always stays solution-oriented.

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