Ethical implications of using AI for knowledge creation
A dialectic view from a meta-synthesis approach
Bibliographic Data
| ID | 8246116 |
|---|---|
| Authors | Siddharth Madhav Joshi (Indian Institute of Management Kozhikode), Satish Krishnan (0000-0002-5538-4764, Indian Institute of Management Kozhikode Information Systems Area, ,Kozhikode, , and Software Engineering Department, LUT School of Engineering Sciences, Lappeenranta, Finland), S Gokula Krishnan (0000-0001-6931-1833, Indian Institute of Management Kozhikode), Sebastian M P (Indian Institute of Management Kozhikode) |
| Year | 2026 |
| Pages | 1-18 |
| Publication date | 2026-02-24 |
| Peer Reviewed | Yes |
| Open Access | No |
| Type | ARTICLE |
| Venue | Journal of Information Communication and Ethics in Society (JOURNAL) |
| Journal identifiers | ISSN: 1758-8871 • E-ISSN: 1477-996X |
| Publisher | Emerald (PUBLISHER) |
| DOI | 10.1108/jices-12-2024-0190 |
| OpenAlex | W7131087469 |
| Language | EN |
| References cited | 60 |
Purpose This paper aims to explain the ethical challenges of using Artificial Intelligence (AI) for knowledge creation. AI, endowed with autonomy and learning capabilities, strives to generate knowledge from data, thereby automating or augmenting knowledge work. Yet, reducing human involvement in knowledge-related activities may not always prove effective and can pose various ethical challenges to organizations. The authors adopt prevalent guidelines for ethical AI to reveal the problems organizations face when using AI in knowledge creation. Design/methodology/approach The authors have analyzed the literature on knowledge generation using AI. This is followed by a meta-synthesis of qualitative studies to develop a comprehensive view of ethical issues arising out of the use of AI. Findings The findings suggest multiple tensions between humans and AI during the training and continuation stages. The authors have used the dialectic lens to explain the ethical implications arising out of these tensions. Practical implications AI promises to alter knowledge work fundamentally and is expected to benefit organizations and individuals. To ensure the highest level of ethical compliance, organizations must understand the inner mechanisms of using AI. This paper provides a comprehensive view to explain these mechanisms and also reveals the ethical issues that can emerge. Originality/value The authors have taken an approach to identify ethical challenges when using AI in a real-world setting, which they believe is a first of its kind. Instead of simplified principle-based guidelines, they have synthesized the ethical challenges of using AI for knowledge creation
Autonomy · Dialectic · Ethical issues · Face (sociological concept · Perspective (graphical · Work (physics · AI in Service Interactions · Artificial Intelligence in Healthcare and Education · Ethics and Social Impacts of AI
Siri, Siri, in my hand
Managing Artificial Intelligence
Explaining Development and Change in Organizations
Principles alone cannot guarantee ethical AI
Artificial Intelligence in Organizations
To Engage or Not to Engage with AI for Critical Judgments
The responsibility gap
The potential for artificial intelligence in healthcare
Artificial intelligence capability
Meta-Synthesis of Qualitative Case Studies
The global landscape of AI ethics guidelines
Deep learning
AI4People—An Ethical Framework for a Good AI Society
The Ethical Implications of Artificial Intelligence (AI) For Meaningful Work
From Greenwashing to Machinewashing
The process of reinventing a job
Building truths in AI
Moral Deskilling and Upskilling in a New Machine Age
Engaging with deepfakes
Citizen engagement in co-creation of e-government services
Ethical reasoning in technology
Big Data, new epistemologies and paradigm shifts
| Citation velocity | historical |
|---|---|
| Highly cited | No |