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Value Proposition and Challenges of Web Based AI-Art Generators

Students & Supervisors

Student Authors
Mohammad Nur Newaz Oyon
Master of Business Administration, FAS
Un Nafi Iltimas
Master of Business Administration, FAS
Supervisors
Mehzabul Hoque Nahid
Senior Assistant Professor, Department Head, FAS
Khandakar Tahurul Islam
Lecturer, Faculty, FAS
Mohammad Baijed
Lecturer, Faculty, FAS

Abstract

The objective of this research is to conduct a comprehensive analysis and synthesis of how AI-powered technologies contribute to the creation of value in the digital content generation sector, specifically from an artistic standpoint. Additionally, the study aims to identify the advantages and obstacles related to the utilization of these technologies. In order to accomplish the research goals, the study used a qualitative and interpretative research methodology. This included a systematic literature review (SLR) and conducting semi-structured interviews with 11 specialists in the area of digital art. The review identified a total of 72 research publications, which were subsequently reduced down to 35 via a rigorous inclusion–exclusion procedure. The approach of thematic analysis has been used for the study. Expert interview data and filtered articles for the literature review were analysed using MAXQDA software. The study identified six industrial domains in which AI-powered art-generating systems provide value: content development, education, ethical discourse, marketing, mechanism of operation, and media. A total of 19 distinct value proposition items were discovered from both SLR and the interview data. Although AI shows tremendous potential, the research identified one potential risk factor, four distinct disadvantages and proposed 6 strategies to overcome those challenges. This study makes a novel contribution by identifying the essential factors for investigating and exploring the diffusion of AI in commercial art.

Keywords

Artificial intelligence Art generator systematic literature review Thematic analysis MaxQDA Midjourney

Publication Details

  • DOI: Will get this after Publication
  • Type of Publication: Conference
  • Conference Name: 2nd International Conference on Machine Intelligence and Emerging Technologies (MIET 2024)
  • Date of Conference: 11/08/2024 - 11/09/2024
  • Venue: Noakhali Science & Technology University Science and Technology University Sonapur, University Rd, Noakhali 3814,Bangladesh
  • Organizer: Noakhali Science & Technology University Science and Technology University
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