BurnoutEnsemble: Augmented Intelligence to Detect Indications for Burnout in Clinical Psychology. - Ghofrane Merhbene; Sukanya Nath; Alexandre R. Puttick; Mascha Kurpicz-Briki (Frontiers Big Data, 2022)

BFH-AMI at eRisk@CLEF 2023. - Ghofrane Merhbene; Alexandre R. Puttick; Mascha Kurpicz-Briki (CLEF (Working Notes), 2023)

Mitigating Diversity Biases of AI in the Labor Market. - Carlotta Rigotti; Alexandre R. Puttick; Eduard Fosch-Villaronga; Mascha Kurpicz-Briki (EWAF, 2023)

The BIAS Detection Framework: Bias Detection in Word Embeddings and Language Models for European Languages. - Alexandre R. Puttick; Leander Rankwiler; Catherine Ikae; Mascha Kurpicz-Briki (CoRR, 2024)

Using Natural Language Processing to find Indication for Burnout with Text Classification: From Online Data to Real-World Data. - Mascha Kurpicz-Briki; Ghofrane Merhbene; Alexandre R. Puttick; Souhir Ben Souissi; Jannic Bieri; Thomas Jörg Müller; Christoph Golz (CoRR, 2024)

Shifting Paradigms: Value Sensitive Design for Fair AI Recruitment. - Alexandre R. Puttick; Carlotta Rigotti; Ahmed Abouzeid; Eduard Fosch-Villaronga; Mascha Kurpicz-Briki; Pinar Öztürk (AIMMES, 2025)