Translating Ethical Principles to Practical Risk Management in Health-oriented AI-systems

How can we integrate abstract ethical concerns into an operational AI risk assessment methodology? During the workshop run by the Responsible AI (RAI) group at Digital Health Lab Day on 3 September in Winterthur, we presented a value-driven risk assessment methodology. Using the dimensions defined in the EU Ethical Guidelines for trustworthy AI as grounding values, participants analysed a […]




open-source language models overview

Deploy your own Open-Source Language Model: A Comprehensive Guide

ChatGPT caused quite a stir. While impressive, it’s a “black box”: it’s unclear how it was trained, what data it used, and it cannot be fine-tuned for specific use cases or sensitive data. The release of the more transparent LLaMA model (and likely its leakage on the internet) has led to rapid model development. First, a new model was released every month, then every week, and now every second day. Keeping up with the latest advancements is challenging and exhausting, but this blog post offers a guide to running open-source language models locally for researchers and businesses.