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Data ethics: balance between innovations and responsibility

POSMO, as an ethical data market, prioritizes the protection of rights and freedoms of its data producers. Accordingly, the ethical principles of the company dictate the implementation and use of innovative technological solutions. There are numerous theoretical publications, about the importance and effectiveness of this approach. However, experts note the difficulty in the practical realization […]

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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 […]

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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 […]