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The Frontiers of Society, Science and Technology, 2024, 6(6); doi: 10.25236/FSST.2024.060605.

Artificial Intelligence Technology in Photography and Future Challenges and Reflections

Author(s)

Yongcai Chen

Corresponding Author:
Yongcai Chen
Affiliation(s)

Anhui Institute of Information Technology, Wuhu City, Anhui Province, China

Abstract

Artificial Intelligence (AI) has had a profound impact on the field of photography with its rapid development, which has changed the way photographic images are created and manipulated. This research explores the application of AI in the field of photography and the challenges it faces from multiple perspectives. Firstly, the advantages of AI technology in photography are introduced, including image recognition and analysis, image generation and creation, intelligent image editing and post-processing. However, the convenience brought by AI technology also raises new problems and challenges. These include questions about the authenticity of AI-generated images, personal privacy, bias and fairness. The research also discusses the impact that AI technology may have on the role of the photographer as an artist and on society's values towards art. To achieve the research objectives, the paper uses an integrated approach that includes a literature review, analysis of academic articles and case studies, as well as interviews with photographers and industry professionals. Finally, the paper highlights the importance of balancing technological advances with ethical and moral considerations, and offers corresponding analyses and recommendations to promote the harmonious development of AI and photography, and to create a healthier and more conducive atmosphere for the future development of art.

Keywords

Artificial Intelligence, Photography, Application, Challenge, Reflection

Cite This Paper

Yongcai Chen. Artificial Intelligence Technology in Photography and Future Challenges and Reflections. The Frontiers of Society, Science and Technology (2024), Vol. 6, Issue 6: 24-30. https://doi.org/10.25236/FSST.2024.060605.

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