View source for Generative Media

'''Generative Media''' is a process of algorithmically and autonomously generating forms of media, such as art, photographs, music, literature, and any other means of communicating in a creative way. It is media constructed with complex systems of mathematical formulas that mimics human ingenuity. Generative media goes by many names such as "synthetic media" or "organic media" because it is content created without human intervention. The creation of creative material usually takes a significant amount of time, which generative media streamlines... drastically cutting the creation time down. [https://en.wikipedia.org/wiki/Generative_art Generative art] is one form of generative media, which has become very popular recently, made possible by the advancements in machine learning and neural networks. [https://en.wikipedia.org/wiki/Machine_learning Machine learning] and [https://en.wikipedia.org/wiki/Neural_network neural networks] are sophisticated systems that are capable of learning to make decisions in a repetitive process that engineers build. Anyone can then train these algorithmic systems as they see fit. For example, with this system, an artist would feed it data, such as all of Leonardo DaVinci's painting catalog, fine tuning the neural net to make the decisions that the artist would deem satisfactory, generate a painting, and introduce it in whatever context the artist desires. The partition that once existed between fabrication and originality is nearly non existent when analyzing contemporary pieces such as [https://www.nextrembrandt.com “the Next Rembrandt”]. In 2016, a Rembrandt painting,  was designed by a computer and created by a 3D printer, 351 years after the painter’s death. 

<ref>United Nations Educational, Scientific and Cultural Organization (March 2021). ''The Next Rembrandt''. Retrieved from https://en.unesco.org/artificial-intelligence/ethics/cases</ref>

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