Open AccessArt Integrated Learning Techniques in Artificial Intelligence
Author(s) -
Pooja Sharma,
Lakhbir Kaur
Publication year - 2021
Publication title -
international journal of advanced research in science, communication and technology
Language(s) - English
Resource type - Journals
ISSN - 2581-9429
DOI - 10.48175/ijarsct-1339
Subject(s) - the arts , creativity , computer art , contemporary art , context (archaeology) , art methodology , visual arts , style (visual arts) , human intelligence , computer science , modern art , artificial intelligence , art , history , art history , law , political science , archaeology , performance art
This research paper is designed on planning meaningful visual arts integration and AI, it is based on the discussion of the contemporary design and inheritance protection of arts and crafts, and the influence of artificial intelligence on arts and crafts, this paper makes clear the integration of the two in the historical period of the epoch development and the scientific progress of arts and crafts. From project re-engineering to educational modernization, it promotes the allowance of the value and innovative apparatus of arts and dexterities, so as to realize its defensible expansion in the Artificial Intelligence atmosphere. Artificial Intelligence creativity escalations for empathetic art and artistes in the 21st century. Sponsored by our training in computer science and art history , we claim for the reflexion of AICAN’s works as art, relate AICAN works to the fashionable art context, and itch a reassessment of how we might define human and machine inventiveness. Our effort in emerging Artificial Intelligence progressions for art creation, flamboyance investigation, and peculiar large-scale style decorations in art antiquity has commanded us to judiciously consider the antiquity and delicacies of human art-making and to perceive how those summaries can be exhibited and trained to the machine. We campaigner for a assembly between machine imagination and art broadly defined as parallel to but not in conflict with human artists and their passionate and social targets of art making. Rather, we urge a partnership between human and machine imagination when called for, seeing in this alliance a means to capitalize on both partners’ imaginative strengths.