Calculate the shortest route on your phone, automatically create a playlist with your favorite songs, find the most relevant result via a search engine, select CVs that match a job offer: algorithms help you all along the day. But what would happen if a recruitment algorithm was discriminating? Did it systematically leave aside women or ethnic minorities? How do we make sure these errors are highlighted and corrected? Using more than forty interviews, the Montaigne Institute wishes to provide tangible solutions to limit potential drifts and restore confidence in the algorithms. This report attempts to give a French perspective to this issue, which today is mainly treated through an American lens. It extends the paper published in 2019 by Télécom Paris and the Abeona Foundation “Algorithms: bias, discrimination and equity”.