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Entries by Mascha Kurpicz-Briki

Bias in Language Models and Data Augmentation for AI in Mental Health

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Are societal stereotypes encoded in German language models, and how can data augmentation techniques support classification task in the context of mental health? Recent results on these topics were presented at the annual SwissText conference 2024. The Applied Machine Learning group at the Bern University of Applied Sciences is involved in many innovative projects in […]

On the blind spots of AI – from discrimination to technological responsibility

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The relationship between AI and societal diversity is intricate. BFH-researcher Mascha Kurpicz-Briki probes this in her interview with AI luminary Roger A. Søraa, who explored in his groundbreaking book, “AI for Diversity.” He warns of the subtle dangers of AI-induced exclusion, emphasizing the overlooked intersections of discrimination. Not only he challenges the notion of technological […]

More than a chatbot – how AI can be used responsibly in companies

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ChatGPT, Midjourney & Co. have shown how much potential software with machine learning has. However, in order to shape this change responsibly, the risks of these technologies must also be taken into account. Our researcher Mascha Kurpicz-Briki analyses how AI can be used responsibly in companies. Nowadays, the term artificial intelligence usually refers to machine […]

The Debiaser – Novel Tools for Bias Detection and Mitigation in AI Systems

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Bias in AI is a major challenge of today’s artificial intelligence (AI) technologies. The proof-of-concept technology developed in the Horizon Europe project BIAS addresses this problem. The first results were recently presented at the EWAF’23: European Workshop on Algorithmic Fairness by BFH researchers in collaboration with partners from Leiden University. The Challenges of Bias in […]