It is a well-known fact that machine-learning algorithms exacerbate biases inherent in the datasets on which they were trained. In recent times, this fact has found ample evidence, e.g. in Cathy O’Neill’s book “Weapons of Math Destruction” (2016), in Kate Crawford’s and Trevor Paglen’s “Excavating AI” (2019), or in articles such as “Data and its […]
It could all be so simple: cultural heritage institutions and other public sector bodies provide high-quality data on a large scale and, wherever possible, under a permissive licence such as CC0 or Public Domain Mark 1.0. This is in line with the idea that cultural heritage institutions are funded by taxes, therefore everyone should also […]
Since the release of the ChatGPT dialogue system in November 2022, the societal debate about artificial intelligence (AI) has gained significant momentum and has also reached cultural heritage institutions (such as libraries, archives, and museums). The main challenge is to assess how powerful such large language models (LLMs) are in general, and Generative Pre-trained Transformers […]