Background: Artificial Intelligence (AI) has emerged in various domains, including art and has transformed the traditional understanding of artistic practices, ownership and creative process in art.

Objectives: The present scoping review aims to examine AI in art for understanding the role of AI in artistic creation by collecting and mapping key concepts related to AI art, listing the identified AI-related tools currently used in artistic practices alongside their possibilities offered, capturing the positive and negative perception of both artists and audience, and, finally, identifying the ethical concerns emerged by AI alongside proposed solutions. Understanding AI generated content and its issues support not only the artistic community but also inform the Information Science (IS) scholarly discourse and practices. 

Methods: This rapid scoping review, conducted for 5 months, applied PICo protocol to shape the research questions, Arksey and O’Malley’s (2005) framework for a transparent and comprehensive collection and analysis of the evidence, and followed PRISMA-ScRfor reporting. The search across “Web of Science”,“Scopus” and “EBSCOhost” databases was conducted with some limitations in criteria selection. The inclusion criteria were limited to English-language sources published between 2020 and 2024, focusing on peer-reviewed articles. Data charting was conducted in thematic maps and figures for a broad representation of the current landscape.

Results: The qualitative text analysis in thematic areas of 21 peer-reviewed articles lead to a narrative analysis followed by figures and tables. The initial part of the “General information” results highlights the growing scholarly interest in AI within the domain of art throughout 2024 and the variety of disciplinary fields that demonstrate interest in this topic. Regarding the main part of the results, the review offers a comprehensive overview of the most frequently utilized key concepts relating to AI art and a list of over 50 AI-driven tools with their affordances in creative process. Furthermore, it maps positive and negative perception of both artists and audience and addresses ethical concerns raised along with a few proposed solutions.

Conclusions: A systematic review could follow this scoping review and enrich the assistance of policymakers, artists, and technical developers to revise the existing framework in which they collaborate and ensure that any identified risk will be mitigated. Moreover, this thesis provides the foundation to the field of IS to understand AI-generated content in both scholarly research and professional information environments.