Contributions EN
Adobestock 761691501 Federated Learning

Federated Learning: The Future of AI Without Compromising Privacy

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Federated Learning (FL) has become a paradigm-shifting technology in AI, allowing data scientists to work with private data. In comparison to…
Projektstart Bias

Fairness and Bias in AI Applications for the Labor Market

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For the 2024 Applied Machine Learning Days (AMLD) conference held at EPFL, the BFH Applied Machine Intelligence group and NLP expert Dr. Elena…

How forward-looking data governance enables the reuse of data

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"Open government data" is just the beginning. The end-to-end digitalisation of the public sector requires solid data governance with clear roles…

“Federal Council takes the risk of overidentification seriously”

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After the Swiss population rejected the Federal Act on Electronic Identification Services in March 2021 with 64% of votes against, the Federal…

Bridging a gap between technical and non-technical: data ethics as a science communication

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Data ethics is one of the most discussed topics around the world. Digital technologies are increasingly influencing our daily lives, and the…

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,…