DeBiasByUs: Raising Awareness and Creating a Database of MT Bias

Janiça Hackenbuchner, Joke Daems

Abstract: This paper presents the project proposed by the DeBiasByUs team resulting from the Artificially Correct Hackathon. We briefly explain the hackathon challenge on 'Database and detection of gender bias in A.I. translations', highlight the importance of gender bias in Machine Translation (MT), describe our solution, the current status of the project, and our future plans.