Ethical Implications of the Commercialization of Artificial Intelligence (AI)

In recent years, the commercialization of Artificial Intelligence (AI) has raised numerous ethical concerns that have received considerable attention. The research aims to explore the level of impact of AI adoption in different sectors, particularly the Higher Education (HE) sector. This study intends to investigate the ethical implications of the commercialization of AI by exploring several key areas of concern, such as AI ethical framework and regulations. A grounded theory approach was utilized, and primary data is drawn upon. A survey that involved 46 participants and semi-structured interviews conducted with five interviewees form the basis of the data used in the analysis process. The sampling approach for participants is based on a non-probability and convenience strategy, in this case individuals who are knowledgeable about AI. Drawing on Saunders et al. in (Research Methods for Business Students. Pearson, United Kingdom, 2019 [27]), an interpretivist philosophy and inductive approach to theory development were incorporated into the methodology. Thematic analysis and survey coding were utilized to analyze the data collected. Three themes emerged, first, AI commercialization and ethical impact, second, AI implementation in HE and third, AI policies and regulations. The findings from this study will be beneficial for governments, organizations, educators and students seeking to utilize AI technologies. The insights gleamed from the research highlight the necessity for organizations to develop clear ethical frameworks prior to the implementation of AI technologies. The adoption of AI in HE should be carefully managed to ensure that it is utilized effectively and ethically. Finally, the collaboration between government, organizations, and society is important in order to develop and implement appropriate AI policies and regulations.