The Challenges of Artificial Intelligence and Artistic Creation in the Visual Arts
DOI:
https://doi.org/10.59992/IJESA.2024.v3n3p3Keywords:
Artificial Intelligence, Art Image, Visual ArtsAbstract
AI applications were not limited to scientific questions, but were transformed into an information network applied in the visual arts, contributing in some way to the transition from the art support board to a data-driven visual world from the idea to the idea "Pixel" becoming a holistic creative art field, help the artist to follow the evolution and facilitate the artistic process, except in terms of knowledge or technical skills that the artist acquires through multiple experiences in his relationship with the past and present and looking to the future through the artist’s use of artificial intelligence in the artistic image that no longer awaits the eye of the artist, artistic experiences, scientific orientations and creative feelings. But this intelligence is impossible as an artist, thinking, collecting and extracting data in a result that is a simulation of a work of art. It is not a simple ordinary simulation of its constructive or colored composition but a synthesis of my information that produces an artistic image based on digital perception and robotics.
Objectives: to determine the relationship of the artistic image with the concept of creativity, is the intelligent industrial image considered as a work of art orIs it based on creativity or is it just an intermediary between the machine and the work of art.
Methods: The research program followed the analytical descriptive approach of the problems posed by the emerging controversial relationship between the concept of artificial intelligence and the image of art and the role of the artist in the developed innovative process, while describing the problem in question and collecting and analyzing the data surrounding it and extracting the results based on various proofs of the intellectual and aesthetic field of contemporary visual arts.
Results: To highlight the role of AI technology in the development of the aesthetic and formative orientation of the artistic image. The study of the artist’s relationship with the art image through artificial intelligence and its place in this new digital field is the relationship of AI with the art image on the positive side and the negative side of its impact on the artist and the creative process. Define the limits of artificial intelligence in the production and creative value of the image, and guide creators in the fields of artistic image to highlight the role of artificial intelligence in the process of evolution in the visual arts.
Conclusion: Study of the role of artificial intelligence technology in the development of the art image in contemporary art And that artificial intelligence in the arts considers the image or is a product based on artistic creativity and role of the artist in this huge surge of artificial technology that can eliminate his role and refer him to fringe and a practitioner and a simple technical rather than creative manufacturer in his field of research in contemporary methods of artistic creativity in art image.
References
الكتب
1. أبو بكر خوالد (2019) تطبيقات الذكاء الاصطناعي كتوجه حديث لتعزيز تنافسية منظمات العمال – المركز الديمقراطي العربي للدراسات استراتيجية والسياسية والاقتصادية -برلين – المانيا طبعة أولي – ص13.
2. عبد الاله موسي - أحمد حبيب بال 2019 -كتاب الذكاء الاصطناعي ثورة في تقنيات العصر – الطبعة الأولي –دار الكتب المصرية ص35:30.
3. عيد سعد يونس. (2015). البحث العلمي في الفن والتربية، كتاب -ط1-عالم الكتب- ص53 - فاتن فاروق الحلواني.
4. والتر بنيامين (1998) ترجمة نشوان محسن دماج: العمل الفني في عصر إعادة انتاجه تقنيا الدار العربية للنشر والتوزيع.
5. ستفانيا جيانيني. (2021). الذكاء الاصطناعي والتعليم -إرشادات لواضعي السياسات - منظمة اليونسكو، ص:1
توثيق المجلة
1. ابتسام بنت سعود (2023) الذكاء الصناعي وتحول مفهوم الإبداع في التصوير التشكيلي الرقمي – المجلة التربوية لكلية التربية بجامعة سوهاج -مج 2 ع 109.
2. ابتسام بنت سعود الرشيد -ريم احمد حسن (2020) السيبرانية فن التحكم بالعقل ومستقبل الفنون التشكيلية - مجله العلوم التربوية والدراسات الإنسانية ص84 2020 ع12 مج5.
3. حسيب محمد فقيه (2020) العالقة بين الذكاء الاصطناعي وتخفيف الحمل المعرفي عند المتعلمين، مجلة بحوث الجامعة اللبنانية، العدد 31، ص269.
4. مروة الشور بجي (2022). القراءة الآلية للخطوط العربية: دراسة تطبيقية في تقنيات الذكاء الاصطناعي- المجلة العربية الدولية للدراسات المكتبية والمعلومات- مج1 ع4، ص146.
References
Book
1. Aspuru Guzik, Alan, 2018, “Intervista. l’assistente chimico virtuale”, in Recenti pro-gressi in medicina, Supplemento: Intelligenza artificiale, 109, 1: 24-25.
2. Benjamin, Walter, 2008, “The Work of Art in the Age of its technological reproduc-ibility”, in The Work of Art in the Age of its technological Reproducibility and other Boden, Margaret, 2012, “Foreword” to Mccormack, Jon, d’Inverno, Mark, eds., Com-puters and Creativity, Springer, london-New York.Boden, Margaret, 2018, Artificial Intelligence. A Very Short Introduction, Oxford Uni-versity press, Oxford.
3. Castelle, Michael, 2020, “la vita sociale delle reti avversarie generative”, in Barale, ed.: 19-49.
4. colton, Simon, 2019, “From computational creativity to creative AI and Back Again”, in Interalia Magazine, September, last access 29 April 2021, <https://www.interalia-mag.org/articles/simon-colton/>.
5. Mccormack, John, d’Inverno, Mark, 2012, Computers and Creativity, Springer, New York-london.
6. Danto, Arthur, 1987, The State of the Art, prentice Hall, New York.
7. Danto, Arthur, 1986, The Philosophical Disenfranchisement of Art, columbia Univer-sity press, New York.
8. Danto, Arthur, 1984, “The End of Art”, in lang, Berel, ed., The Death of Art, Haven, New York: 5-35.
9. Davies, Stephen, 2015, “Defining Art and Artworlds”, in The Journal of Aesthetics and Art Criticism, 73, 4: 375-384.
10. Desideri, Fabrizio, 2019, “I Modern Times di Benjamin”, in W. Benjamin, L’opera d’arte nell’epoca della sua riproducibilità tecnica. Edizione integrale comprensiva delle cinque stesure: IX-XlI, Donzelli, roma
11. Dickie, George, 1984, The Art Circle: A Theory of Art, Haven, New York.
12. Dickie George, 1974, Art and the Aesthetic: An Institutional Analysis, cornell Univer-sity press, Ithaca, NY.
13. Diodato, roberto, 2021, Image Art Virtuality. For an Aesthetics of Relation, Springer, New York-london.
14. Du Sautoy, Marcus, 2019, The Creativity Code. How ai is learning to write, paint and think, Harper collins, london.
15. Galbusera, Fabio, et al., 2018, “Exploring the potential of Generative Adversarial Net- works for Synthesizing radiological Images of the Spine to be Used in Silico Tri-als”, in Frontiers in Bioengineering and Biotechnology, 6, 53: 19.
16. Goodfellow, Ian J, et al., 2017, Deep Learning, MIT press, cambridge, MA.
17. Goodfellow, Ian J., et al., 2014, “Generative Adversarial Networks”, in ArXiv:1406.2661[cs, Stat], June 2014, last access April 29 2021, .
18. Gouveia, Steven, 2020, “Aesthetics and language in Artificial Intelligence”, in The Age of Artificial Intelligence: An Exploration, Vernon press, Wilmington, DE: 159-238.
19. Kazeminia, Salome, et al., 2019, “Gan for Medical Image Analysis”, in arXiv:1809.06222 [cs.cV], October 2019, last access 29 April 2021, <https://arxiv.org/abs/1809.06222>.
الموقع الإلكتروني
معجم المعاني: https://www.almaany.com/ar/dict/ar-ar/%D8%A3%D8%A8%D8%AF%D8%B9
