Pattern Recognition

Describes the recognition of regularities, repetitions and similarities in a large amount of data to facilitate facial, speech or text recognition, for instance.

Machine Learning

The term describes the development of a model using special learning algorithms that draw on a large amount of training data. The ‘knowledge’ generated can be used for predictions or recommendations.


Short for »artificial neural network.« Just like AI, the term is coined after the biological model of the human brain. The artificial networks consist of a model of neurons with the aim of processing information. This designation provokes a humanisation (anthropomorphism).


Short for »artificial intelligence.« The term should be viewed critically, as it represents a humanisation (anthropomorphism). In actuality, it currently refers exclusively to »machine learning.«


Is an open deep-learning library, similar to TensorFlow, written in Python and open source. The library can be used in a particularly meaningful way when a certain ANN pre-trained by means of transfer learning are applied to one’s own tasks. This, however, creates dependence on external training.


Various ANN that already contain mathematical weights can be used via public libraries such as Keras or TensorFlow. The complex process of training the weights is based on the ImageNet image database, which is composed of up to 14 million images from the Internet. This has led to questionable or even biased categorisation.


Short for »International Image Interoperability Framework.« A standardised interface, e.g. for the inter-institutional exchange of image data and other digital objects.


Means the classification of various objects in a data set into different groups. The classification is carried out automatically on the basis of detected similarities, e.g. in an image corpus for groups such as »dogs« and »cats.«


Describes a disproportionate weight, e.g. in the training of AI, in favour of or against information contained in the data. Conversely, this can result in disadvantages or perpetuate unfair biases, which is particularly critical when the data is used as the basis for making decisions with (in)direct impact on daily life.


Short for »Application Programming Interface.« Stands for a programming interface that enables the connection of a piece of software to another program, e.g. for scraping data sets of museum collections.

»Training the Archive« (2020–2023) is a research project that explores the possibilities and risks of AI in relation to the automated structuring of museum collection data to support curatorial practice and artistic production.

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