A history of Art practices related to A.I since 1763.
Thinking in numbers (1763)
Artificial intelligence requires the ability to learn and make decisions, often based on incomplete information. In 1763, Thomas Bayes developed a framework for reasoning about the probability of events, using math to update the probability of a hypothesis as more information becomes available. Thanks to his work, Bayesian inference would become an important approach in machine learning.
From numbers to poetry (1842)
In 1842, English mathematician Ada Lovelace was helping Charles Babbage publish the first algorithm to be carried out by his Analytical Engine, the first general-purpose mechanical computer. Yet Lovelace saw opportunities beyond the math. She envisioned a computer that could crunch not just numbers, but solve problems of any complexity. At the time it was revolutionary that machines have applications beyond pure calculation. She called the idea Poetical Science: "[The Analytical Engine] might act upon other things besides number, were objects found whose mutual fundamental relations could be expressed by those of the abstract science of operations… Supposing, for instance, that the fundamental relations of pitched sounds in the science of harmony and of musical composition were susceptible of such expression and adaptations, the engine might compose elaborate and scientific pieces of music of any degree of complexity or extent."