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1

Federated Learning: The Future of AI Without Compromising Privacy

Federated Learning (FL) has become a paradigm-shifting technology in AI, allowing data scientists to work with private data. In comparison to the standard machine learning approach, where all the individual client data must be collected and moved to a centralized server, with the Federated Learning approach, model training can be done directly on the clients […]

2

Fairness and Bias in AI Applications for the Labor Market

For the 2024 Applied Machine Learning Days (AMLD) conference held at EPFL, the BFH Applied Machine Intelligence group and NLP expert Dr. Elena Nazarenko organized a track on fairness in AI applications in the labor market. The conference brings together over 1500 participants from over 40 countries across industry, academia, and government. For this year’s […]

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

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 […]