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Artificial Intelligence and Creativity

Artificial Intelligence and Creativity

Artificial intelligence is playing a very significant role in creative activities such as music, fine arts, architecture, etc. Rather than just seeing artificial intelligence as a tool to help artists, we could see it as a creative entity in its own right. The emergence of hundreds of “AI artists” has been seen in the last few years. They are generating visuals, poetry, music, and even realistic movie scripts. The works of these AI artists makes us wonder about the nature of art and the role of human creativity in the future. Margaret Ann Boden, a Research Professor of Cognitive Science in the Department of Informatics at the University of Sussex, is a pioneer in the fields of artificial intelligence, psychology, philosophy, and cognitive and computer science.

In the book "From Fingers to Digits: An Artificial Aesthetic"  Boden focuses on various forms of generative art that have been created by programming and computer code. History and taxonomy of computer and AI-generated are discussed to understand whether AI is creative or it offers an appearance of creativity. Young artists utilize the computer‟s potential as a medium; it is an integral tool for them like paint or brushes. Nonetheless, if computer art cannot offer transformational creativity it is not as significant as human art. The book also explores the changing sociological relations between computer art and the art world and how the interaction of the audience changes art. Later achievement of AI in nonvisual art and dynamic linking between sound and images are discussed. The interviews of eleven artists of different give a clearer vision of the future of computer-generated art.

In the paper 'Creativity and artificial intelligence', Boden discusses why AI must try to model creativity as creativity is a fundamental feature of human intelligence. Later it describes three types of creativity: combinational, exploratory, and transformational creativity. In the field of combinational creativity, AI studies jokes, and analogy. Jape, AI-generated humor, incorporates knowledge of phonology, semantics, syntax, and spelling. An example of AI-generated exploratory creativity is the project AARON. Though AARON is one of the most successful projects, it cannot reflect on its productions, nor adjust them to make them better. Transformational creativity systems include AM and EURISKO, and certain programs based on genetic algorithms. This paper focuses on the difficulties that AI faces in achieving combinational and transformational creativity. AI thrives more when it is dealing with exploratory creativity.


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