AI ART
Artificial intelligence (AI) has brought previously unheard-of opportunities and challenges to modern society.
AI offers computational benefits, data storage, economic superiority, and the possibility of robots, AI, and algorithms living forever.
It is yet unknown how AI will affect employment and economic expansion. The idea of "slowbalisation," which is defined as the deceleration of traditional globalization, is examined in light of the increasing patterns of air travel, data transfer, and human migration.
The introduction of AI into the economy upends established markets, and it suggests gauging the impact of AI on growth through proxies such as The State of the Mobile Internet Connectivity 2018 Index and the Global Connectivity Index.
These indices show a strong correlation with GDP output, FDI inflow, and the total number of migrants.
This suggests a relationship between the rapidly globalizing rising industries in the era of slowbalization and artificial intelligence and these factors.
AI Art in Media
The way art is produced, viewed, and comprehended is being completely transformed by AI art in media, which has become a disruptive technology.
A multitude of revolutionary effects on the media landscape have resulted from the convergence of artificial intelligence and artistic expression.
The following are some examples of how AI art has defied established media conventions:
- Creation and Collaboration Generative Art: Artworks that are distinctive and frequently unexpected can be produced with the help of AI algorithms, especially generative adversarial networks (GANs). AI and artists work together to create art; the machine provides fresh concepts that might not have occurred to humans on their own.
- Accessibility and Democratization: Democratizing Art Production: Those without traditional artistic training can now create art more easily thanks to AI tools. A wider range of people can now participate in artistic expression thanks to the democratization of art production, which also lowers entry barriers into the art world.
- Personalization in Media Consumption: AI-Driven Content Recommendation: To provide individualized recommendations for art and media content, AI algorithms examine user preferences and behaviors. This expands the reach of various artistic styles and improves the user experience by introducing audiences to a wide variety of artworks catered to their preferences.
- Exploration of New Aesthetics: Unconventional Aesthetics: AI-generated art frequently questions accepted ideas of beauty. AI art pushes boundaries and promotes a reevaluation of what is deemed beautiful or meaningful in the field of visual expression by introducing unusual styles and forms.
- Copyright and Ownership Challenges: Ownership and Authorship: The collaborative process involved in creating AI art prompts inquiries regarding authorship and ownership. It can be difficult to determine who is the rightful owner of an AI-generated work, which raises ethical and legal questions that put the current frameworks for intellectual property and copyright in jeopardy.
- Ethical Considerations: Bias and Ethical Concerns: Ethical concerns arise because AI art creation algorithms may inherit biases from the training data. In order to guarantee that AI-generated art is equitable and courteous, artists and technologists must confront concerns of bias, accountability, and transparency.
- Interactive and Immersive Experiences: Interactive Installations: AI art installations give viewers engaging and interactive experiences. Through dynamic, responsive, and participatory interactions with artworks, viewers are given an experience that surpasses that of traditional static art forms.
- Influence on Traditional Art Practices: Inspirational Tool: Traditional artists are starting to view AI as a tool for inspiration. Some artists use AI algorithms as part of their creative process, taking advantage of the technology to investigate novel concepts, aesthetics, and methods that enhance their artistic vision.
- New Business Models: NFTs and Digital Collectibles: The emergence of non-fungible tokens (NFTs) has given artists new ways to make money off of their digital works. Part of this expanding market for digital collectibles is AI-generated art, which frequently exists only in digital form.
AI art in media challenges established conventions and opens up new avenues for the production, appreciation, and comprehension of art.
It upends stereotypes, presents fresh aesthetics, and changes how we engage with and view artistic expression in the digital era.
AI technology's influence on the nexus between AI and art is probably going to grow and diversify as it develops.
References:
Puaschunder, J. M. (2019, June). Artificial Intelligence market disruption. In Proceedings of the International RAIS Conference on Social Sciences and Humanities organized by Research Association for Interdisciplinary Studies (RAIS) at Johns Hopkins University, Montgomery County Campus, Rockville, MD, United States (pp. 1-8).
Patton, R. M. (2022). Disruption, Innovation, Creativity, and the “Right Thing” in the Age of Global Media Arts. In Global Media Arts Education: Mapping Global Perspectives of Media Arts in Education (pp. 79-98). Cham: Springer International Publishing.
Abbott, R., & Rothman, E. (2022). Disrupting Creativity: Copyright Law in the Age of Generative Artificial Intelligence. Florida Law Review, Forthcoming.