Abstract

In the artistic field, artificial intelligence (AI) has become a steadily essential tool. Algorithms based on artificial intelligence are being used by creators to create new and imaginative works of art ranging from music and artwork to poetry and cinema. This paper investigates the potential development of AI and its possible effect on the artworks of artists. It explores the present situation of artificial intelligence in the art field, the drawbacks associated with employing AI in artistic output, and the social concerns that must be resolved as AI grows more prominent in the creative industry. (Kong, 2020)

 

Artificial intelligence (AI) is a rapidly advancing subject that has the ability to transform a wide range of sectors. The artistic sectors are no different. Artificial intelligence (AI) is becoming more prevalent in the artistic field to create new pieces of art and to help artists in their artistic endeavors. Any subject ranging from music and art to writing and cinema has been created using AI. However, the use of AI in the field of art generates several concerns about the prospects of artistic output and the artist’s position in the process of creativity. (Hertzmann, 2018)

 

In 1956, the term Artificial Intelligence was described as the manipulation of computers to replicate intelligent behaviour with the slightest human interference. In real term, the word Artificial Intelligence was derived from the Czech expression Robota which signifies the operation of machines as forced labour. (Hamet & Tremblay, 2017). The first human-like robot was designed in 2005 and it was capable of constructing portraits of human beings by extracting predominant data such as biometric authentication and restoration of image. Beyond the shadow of a doubt, the artistic community is changing at an unprecedented rate as the digitalization of the art industry is evolving rapidly due to mass investment, technological innovation and advanced research. (Fortuna & Modliński, 2021).

 

Research in artificial intelligence has made incredible progress in the field of robotics, medicines, biometric engineering, music, cinematography and arts during the past few years. However, These developments have raised concerns and established fear about the impact of artificial intelligence on various aspects of society. In the framework of artistic endeavors, news media sensationalism shows new picture and video production algorithms as if they outsource art creation. (Hertzmann, 2018)

 

 Artificial intelligence is currently utilized in a variety of artistic areas. The algorithms of artificial intelligence, for instance, have been applied to make audio recordings, with applications like Amper Music and AIVA (Artificial Intelligence Virtual Artist) creating distinctive pieces through human input. Furthermore, creative professionals have made use of AI to create innovative pieces of art, with applications like DeepDream and Neural Style Transfer creating pictures that combine the artistic techniques of various painters or produce entirely distinct designs. AI has even been utilized to create poems as well as complete books in the area of writing. The book “1 the Road,” for instance, was penned by an electronic software created by Australian novelist Ross Goodwin. The software examined information collected during a road journey made by Goodwin and then produced an original work on the basis of the information using machine-learning algorithms. (Mehrabi et al., 2021)

 

Relocation is one of the foremost serious threats that AI presents to creators. As AI advances, it is possible that many tasks presently performed by individuals will be mechanized. Many occupations in the artistic sectors, such as artwork creation, music composing, and even written communication, fall into this category. Although there are currently instances of AI-generated music and artwork, these creations receive heavy criticism for missing the personal creativity and profound feelings that human beings artists bring to their creative endeavours. Nevertheless, as AI advances, it is possible that distinguishing among works produced by people and those developed by computers will become progressively harder to find any differences. This could be disastrous for creators who depend on their ingenuity and artistic abilities to earn a livelihood. If Artificial Intelligence generated art  can produce pieces of art which are dissimilar from those made by human beings, many artists will probably be out of employment. Moreover, As AI advances in sophistication, it will be able to create art independently, refraining from the need for human involvement. This calls into doubt the creator’s conventional position as the solitary originator of what they create, asking concerns about the worth of human imagination and innovation in an era where robots are able to duplicate it.

(Mazzone & Elgammal, 2019)

 

Terzidis (2022) argues that algorithms are now capable of producing work of art that produce the “surprise effect”, that Margaret Boden refers to as one of the primary aspects of artistic talent. They accomplish this through integrating different aesthetics and characteristics from a diverse collection of earlier paintings, particularly the information set utilized to train the computer. The surroundings, as we have perceived it, has been displayed, modified, and controlled on our computers. According to a new research study, the majority of individuals today cannot tell the difference between work of art created by computers and work of art created by individuals. (Mazzone & Elgammal,  2019). These creations could be depicted with a 3D printer, a robotic limb, or a simple screen. For the first time, probably in historical events, we are confronted with a peculiar, unsettling, and unusual circumstance that results from the reality that all of these debates over the worth of a piece of art might not even be related to people. Imagination is an essential component of artistic endeavors, and it is not readily reproduced by computers. If AI grows into the primary driver in art production, the resulting art could end up repetitive and boring.

 

The advancement of AI does not only alter how artwork is designed but also generates new challenges for the intellectual property structure, which was designed to safeguard the artistic endeavours of human producers. A further threat that AI presents to artists is infringement of intellectual property. Individuals will find it simpler to produce works of art on the basis of  previous and current works as AI advances. For instance, an artificial intelligence (AI) algorithm could be taught to produce fresh songs using current tunes or produce new artworks built on current pieces of art. Although this may appear to be insignificant, it has the ability to be a serious issue for artists. If an AI system can create artworks based on current pieces without the approval of the owner of the intellectual property, it might result in pervasive copyright violation. (Floridi, 2021)

 

 

When it pertains to the intellectual property security of creative works, there are two major issues to take into account. The first is that determining whether an artwork is covered by intellectual property rights is frequently challenging. Secondly, it can be incredibly challenging to establish the boundary between admiration and violation in the creativity sector where tendencies appear to determine designs to some degree.

The creative industry is infamous for replicating, piracy, and restricted offs, which are triggered partially by the evidence that the sector necessitates a certain kind of replication in order to operate. (Floridi, 2021). It should also be mentioned that not all replication is inherently harmful. A few types of replications are generally permissible, such as copying, reference, and citation. (Mehrabi et al., 2021)

 

 Furthermore, there is a threat that Artificial-generated artworks will strengthen prejudices and presumptions found in the information utilized to teach the AI programs.

To handle these issues of ethics, it is critical that creators and AI engineers collaborate to make certain that AI is applied responsibly and ethically. This could include establishing standards for the integration of AI in the artistic endeavours, as well as methods to ensure that Artificial-generated creations of art are properly credited and rewarded.

This may have an adverse effect on artists’ capacity to earn an income from their artistic endeavours. If individuals can produce artworks based on previous creations without paying compensation or obtaining approval from the owner of the intellectual property, it could give rise to a scenario in which creative professionals are unable to earn an income from their passion and creations. (Spindler, 2019)

 

Ultimately, the growing popularity of art produced by artificial intelligence may result in the commercialization of art. Since robots can produce artwork faster and at more affordable prices than creative professionals, it could be more challenging for creators to make money from their creative endeavours. (Wang et al., 2019). This might end up in art being created purely for financial reasons, with little consideration for creative value or connection to emotions. Additionally, the commercialization of art may result in an erosion of art’s inherent worth. Art has historically been appreciated for its psychological effects along with an artist’s abilities and imagination. Nevertheless, as art produced by artificial intelligence grows more common, it may be appreciated mainly for its financial sustainability, devaluing feelings and artistic worth.

 

Prejudice is a further threat that AI presents to creators. Artificial intelligence can only be as effective as the material on which they are developed. If the material is utilized in instructing a machine learning algorithm is partial in some manner, the system will be partial as well. This is likely to be a significant issue for creative individuals, as prejudice can impact how their works of art are viewed and appreciated. For instance, if a computerized system is taught on information that is prejudiced towards a specific ethnicity of individuals, the machine learning algorithm will almost certainly be prejudiced towards this category of people. This might have a major effect on creators from neglected neighbourhoods who are able to earn an income from their artistic endeavouGokhool_21039849_A.1_Conference Paperrs. If a machine learning engine has prejudices towards artworks produced by artists from excluded populations, it may result in these creators not receiving the respect and appreciation they require to thrive. (Kong, 2020)

 

The loss of imaginative power is a further danger that AI presents to creators. As artificial intelligence (AI) technologies progress, it is possible that they will eventually be capable of producing artworks that are far more complicated and advanced than anything a person could produce on a personal level. While this appears to be an excellent move, it may contribute to a circumstance in which creators lose their grip on their own creativity. If a machine learning algorithm is capable of producing masterpieces of artwork that are identical from the ones produced by humans, it is possible that many creators will depend on these systems. (Floridi, 2021)

 

Although artificial intelligence has the ability to improve the method of creation and enable fresh means of artistic creativity, it also threatens artists’ employment as discussed above. The displacement of human imagination, the uniformity of creative methods, and the commercialization of art are all worrying issues that must be tackled and resolved if the worth and enchantress of art are to be preserved in an era where artificial intelligence (AI) technology is growing more prominent. It is critical for creators, art organizations, and the public in general to take into account the consequences of AI on the field of art and collaborate to make sure that art continues to be a vibrant and significant part of human civilization.

 

Reference list:

Floridi, L. (2021). Artificial Intelligence, Deepfakes and a Future of Ectypes. Philosophical Studies Series, 144, 307–312. https://doi.org/10.1007/978-3-030-81907-1_17

 

 

Fortuna, P., & Modliński, A. (2021). A(I)rtist or Counterfeiter? Artificial Intelligence as (D)Evaluating Factor on the Art Market. Journal of Arts Management, Law & Society, 51(3), 188–201. https://doi.org/10.1080/10632921.2021.1887032

 

 

Kong, F. (2020). Application of Artificial Intelligence in Modern Art Teaching. International Journal of Emerging Technologies in Learning (IJET), 15(13), 238–251. https://www.learntechlib.org/p/217610/

 

Mehrabi, N., Morstatter, F., Saxena, N., Lerman, K., & Galstyan, A. (2021). A Survey on Bias and Fairness in Machine Learning. ACM Computing Surveys, 54(6), 1–35. https://doi.org/10.1145/3457607

 

Spindler, G. (2019). Copyright Law and Artificial Intelligence. IIC – International Review of Intellectual Property and Competition Law, 50(9), 1049–1051. https://doi.org/10.1007/s40319-019-00879-w

 

Terzidis, K., Fabrocini, F., & Lee, H. (2022). Unintentional intentionality: art and design in the age of artificial intelligence. AI & SOCIETY. https://doi.org/10.1007/s00146-021-01378-8

 

 

Wang, Y., & Ma, H. (2019, December 17).  The Value Evaluation of Artificial Intelligence Works of Art [Paper presentation]. International Joint Conference on Information, Media and Engineering (IJCIME), Osaka, Japan. https://doi.org/10.1109/IJCIME49369.2019.00096