This is the Rhite Blog
to discover the endless possibilities of AI
We write about Responsible AI & Privacy Engineering and everything related to these topics. Sometimes from a legal perspective, sometimes from a technical perspective and sometimes simply because we think it's worth sharing. But always with the aim to inform, provoke, enlighten and contribute to fostering a community of professionals dedicated to responsible tech development.
Our last posts
Digital Trust in 2035: How Can We Incentivise Constructive Online Discourse in the GenAI Era?
Image by congerdesign from Pixabay Today, I had the honour of participating in the round table “Digital Trust and Democracy in the Era of Generative AI,” a Deep Dive session within The Digital Trust Convention organized by Sebastian Hallensleben. The event brought together experts from across academia, policy and industry to imagine what a resilient, […]
Read MoreHow to design AI interfaces: tools, insights, and reflections
As AI systems become increasingly integrated into our lives, the question of how to design human-AI interactions is becoming both more important and more tangible. Until now, to develop any kind of product interface (whether physical or digital), most designers would generally follow this standard process: identifying user needs, defining product functionalities and workflows, and […]
Read MoreApple Unleashes 20 Open-Source Models: Game-Changer or Risky Move?
Apple has recently joined the open-source AI race, making 20 of its models available on HuggingFace (HF). While efforts to make AI more transparent and models widely available have been around for almost a decade, the release of ChatGPT in November 2022 precipitated many new releases. This recent snowball effect, started by OpenAI, has led […]
Read MoreUncovering the True Nature of Microsoft’s Copyright Claim Coverage for AI Solutions using LLMs
One way or another, we all know that the biggest language models (LLMs) have been trained on all the data their creators found available on the web. It is not very difficult to imagine that the chances this data contains copyrighted material are very high. This is also evident in the output of these models, […]
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