Bridging the gap between AI and human creativity : an inquiry into the integration of artificial intelligence in the creative arts in digital Art

Abstract

The objective of this dissertation concerns AI's role in the creative processes to safeguard professional standards. It investigates whether artificial intelligence can replicate or supplement human creativity and concentrates on the cultural and economic impacts AI has on the art industry. By conducting empirical experiments utilising the AI art generator DALL-E and comparing the results to illustrations I have created, this research seeks to assess the distinctions between AI-generated and human-generated art in terms of emotive resonance, artistic expression, and subtleties. The economic influence of AI on the Art market tends to directly impact the material quality of human artists. Consequently, a debate emerges on the worth and devaluation of Art in the era of technological replication. This line of thinking inspired the formulation of the research question – Can Ai Replace Human Creativity in Digital Arts? Through an analysis of the constraints imposed by the capabilities of Artificial Intelligence, this research makes a scholarly contribution to the ongoing dialogue surrounding the status of conventional craftsmanship in the age of digitalization. An examination of AI's trajectory in the realm of art offers valuable perspectives on DALL-E's evolution, its aptitude for identifying patterns, and the constraints stemming from AI's imprecision when it comes to depicting the intricacies of human ingenuity. Additionally, it examines the societal and ethical ramifications that arise from the incorporation of AI into the art sector, shedding light on issues such as ownership, authorship, and the potential devaluation of artwork in an age of technological replication. Comparing human-generated and AI-generated artwork using a mixed-methods approach that combines quantitative and qualitative analyses is detailed in the methodology section. This includes experiments in which participants are asked to assess artworks according to a variety of criteria. Upon reflection of the findings, the research acknowledges both the creative capacity and constraints of artificial intelligence (AI).