Ethical Problems and Challenges Caused by Using Artificial Intelligence in Modern Art

Abstract

The article examines a complex set of ethical problems arising due to artists’ use of artificial intelligence technologies and AI’s direct integration into the creative process. The following ethical problems are discussed: authorship and attribution in AI art, authenticity and originality, the ethical imperative of transparency, and some aspects of ethical use of data. The study of social influences that create AI algorithmic biases is discussed in detail. A set of factors that cause algorithmic biases is described. Analysing the problem of transparency, the author emphasizes the importance of introducing standard transparency practices but taking into account some disadvantages of full data disclosure, namely, the breach of certain intellectual property rights, limitations of creativity freedom, influence on the market value of art, confidential data unintentional disclosure. Looking at the problem of the ethical use of data, the author primarily refers to the impossibility of disclosing any data without the consent of the person who owns it, as well as the unethical use of images of artworks for training AI algorithms without the author’s permission. Provisions are also given to the challenges that arise due to the application of AI in art and creativity. The impact on the art industry and employment, the question of the quality of artworks, as well as the need for regulatory and ethical guidelines are outlined in the text. Several existential and cultural aspects are considered such as disruption of traditional artistic practices, homogenization of artistic expression, dependence on technology, and general impact on the dynamics of the art market. The author emphasizes the need to develop strategies to mitigate risks and maximize the benefits caused by the use of AI to empower further development of modern creative practices and the art industry as a whole.