The Impact of AI on Transforming Concepts in Contemporary Photography

The integration of AI, particularly deep learning, has significantly altered the landscape of photography, offering tools that redefine workflows and expand creative horizons. AI enables photographers to create new images and manipulate existing ones, thereby pushing the boundaries of artistic expression. However, this capability also raises concerns about the blurring of lines between authorship and originality. This research investigates AI's impact on traditional photography, with a focus on creativity and authorship, particularly through technologies like GANs and AICAN. The study examines how AI-generated images challenge the distinction between reality and fiction, influencing the art and reshaping concepts of creativity in AI-produced works. As the distinction between truth and falsehood becomes increasingly blurred in a world of misinformation, the research explores AI’s role in deepening this crisis. The research problem centers on the need to re-evaluate the role of photographers as AI takes over many photographic tasks, raising questions about how this technology redefines artistic creativity, authenticity, and authorship. The study questions whether artistic vision and the human touch will remain crucial or if the focus will shift toward collaborative creativity between humans and AI. The significance of this research lies in its ability to provide insights into AI’s impact on photography, helping navigate the future of this art form. This research aims to analyze the artistic and expressive qualities of concrete examples of artificial intelligence applications in photography, as well as to deconstruct the concepts of art, creativity, authorship, and authenticity in photographic artworks considering modern technology.