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1. The Machine Learning Breakfast Club (netprov)

   Machine Learning Breakfast Club

   Summer School for Troubled Algorithms

   A Netprov (Aug 5-12, 2019)

   The Premise:

   When machine-learning AI are not performing up to expectations, there’s only one remedy: summer school! In this netprov, you will ask for help and offer solutions in the virtual teachers’ lounge for a motley crew of teachers in a summer school for recalcitrant underperforming artificial intelligence.

   A netprov in 3 turns.

   Netprov is online collaborative narrative or the voluntary healing of necessary relationships.

   Mark Marino - 06.08.2019 - 06:21

2. Seedlings_

   Seedlings_ is a digital media installation that plants words as seeds and lets them grow using the Datamuse API, a data-driven word-finding engine. It is at once an ambient piece in which words and concepts are dislocated and recontextualized constantly, and a playground for the user to create linguistic immigrants and textual nomads. In Seedlings_, a word can be transplanted into a new context, following pre-coded generative rules that are bundled under the names of plants (ginkgo, dandelion, pine, bamboo, ivy…). These generative rules consist of a series of word-finding queries to the Datamuse API such as: words with a similar meaning, adjectives that are used to describe a noun, words that start and end with specific letters. They are then grouped in modules to represent the visual structure of the corresponding plant and can be constrained with a theme word. A new plant can be grafted on top of the previous plant by switching to a new starting point from the latest generative result.

   Vian Rasheed - 12.11.2019 - 03:28

3. The Oracle from Selphie

   “The Oracle from Selphie”, the newest version of The Poetry Machine/Ink After Print more or less emerges from these considerations, and brings them together in a new form. It was developed by the authors in collaboration with Jakob Fredslund and CAVI, Aarhus University. “The Oracle from Selphie” is both research-through-design and at the same an exemplar of data-realism. It includes an intro-text which introduces its concept in marketing-style language, hinting that The Oracle uses machine learning systems to generate accurate horoscopes. An important detail here is that The Oracle is in no way based on any actual machine learning system. Instead, The Oracle harnesses a certain machine learning rhetoric; if and when the reader recognizes a hint of machine learning in the style of the horoscopes, the machine learning rhetoric is actualized and the work becomes data-realist.

   Malthe Stavning Erslev - 26.01.2022 - 10:33