| Summary: | Machine Learning (ML) has been applied in the financial, medical and educational fields to make, for example, smart stock predictors, hospital robots, and virtual assistants. But their use in one of the most human of endeavours, creative expression, has been relatively unexplored. Current applications of ML in artistic endeavours employ mostly artificial agents to extend human capabilities to realms where access to extensive data provides opportunities for associations previously unexploited by human artists. These examples take the human point of view first and merely expand human ability, by generating novel musical combinations based on a simple palette of tones, analyzing image content to pick out styles that serve as training for further image transformations, or joining poetic text based on phonetic similarities, for example. While these applications rely on ML as a data-mining agent in unexplored domains, they fail to exceed the limits of human expectations of what they can do. There's another arena in which ML enables artistic expression: using Artificial Intelligence (AI) in unexpected ways in everything we interact with. Imagine, for example, talking to a human whose responses are generated by Google Assistant, or interacting with a robot who secretly wants to make you take medication. I propose using ML to give novel behaviours to objects we interact with, allowing these behaviours to vary using predefined parameters for training, which are unknown to users. Applying ML to unexpected forms of interactions changes what we think machines are capable of, creating situations where AI goes beyond human expectations of what machine intelligence means to us, making objects oddly, Artistically Intelligent.
|
|---|