AI led ethical digital transformation: framework, research and managerial implications. Issue 2 (7th December 2021)

• Record Type: Journal Article
• Authors: Saurabh, Kumar; Arora, Ridhi; Rani, Neelam; Mishra, Debasisha; Ramkumar, M.
• Is Part Of: Journal of information, communication & ethics in society. Volume 20:Issue 2(2022)
• Page Start: 229
• Page End: 256
• Publication Date: 2021-12-07
• Subjects: Digital transformation -- Business ethics -- Artificial intelligence (AI) -- AI ethics -- Ethical decision-making models -- MAXQDA; Information technology -- Moral and ethical aspects -- Periodicals; Information society -- Moral and ethical aspects -- Periodicals; Information superhighway -- Social aspects -- Periodicals; Digital media -- Social aspects -- Periodicals; Digital communications -- Social aspects -- Periodicals; Computer networks -- Social aspects -- Periodicals; Computer security -- Periodicals; 303.4833
• DOI: 10.1108/JICES-02-2021-0020
• Languages: English
• ISSNs: 1477-996X

Abstract

Abstract : Purpose: Digital transformation (DT) leverages digital technologies to change current processes and introduce new processes in any organisation's business model, customer/user experience and operational processes (DT pillars). Artificial intelligence (AI) plays a significant role in achieving DT. As DT is touching each sphere of humanity, AI led DT is raising many fundamental questions. These questions raise concerns for the systems deployed, how they should behave, what risks they carry, the monitoring and evaluation control we have in hand, etc. These issues call for the need to integrate ethics in AI led DT. The purpose of this study is to develop an "AI led ethical digital transformation framework". Design/methodology/approach: Based on the literature survey, various existing business ethics decision-making models were synthesised. The authors mapped essential characteristics such as intensity and the individual, organisational and opportunity factors of ethics models with the proposed AI led ethical DT. The DT framework is evaluated using a thematic analysis of 23 expert interviews with relevant AI ethics personas from industry and society. The qualitative data of the interviews and opinion data has been analysed using MAXQDA software. Findings: The authors have explored how AI can drive the ethical DT framework and have identified the core constituents of developing an AI led ethical DT framework. Backed by established ethical theories, the paper presents how DT pillars are related and sequenced to ethical factors. This research provides the potential to examine theoretically sequenced ethical factors with practical DT pillars. Originality/value: The study establishes deduced and induced ethical value codes based on thematic analysis to develop guidelines for the pursuit of ethical DT. The authors identify four unique induced themes, namely, corporate social responsibility, perceived value, standard benchmarking and learning willingness. The comprehensive findings of this research, supported by a robust theoretical background, have substantial implications for academic research and corporate applicability. The proposed AI led ethical DT framework is unique and can be used for integrated social, technological and economic ethical research.