CORTEXA
← Browse
openalexJournal of the Association for Information Systems2026-08-15Cited by 0

AI Applications to Customer Relationship Marketing-Ethical Considerations

Edward A Wogan

This study examines the explosion of data-driven applications utilizing Artificial Intelligence and Machine Learning in recent years and the myriads of ethical issues that have arisen and continue to evolve. The review focuses on ethics and governance encompassing AI and the application of AI practices in an ethical manner. The paper contemplates the impact on data collection, application, and processing of data from the lens of ethics and privacy. The paper also examines the influence and role of accountability, intelligibility, fairness, integrity and autonomy, all compounded by the far-reaching implications of governance specifically in its application to loyalty marketing and the treatment of consumer personal data. My research will focus on the causality and codependent relationship between data sets and Customer Relationship Marketing (CRM) in the areas of loyalty marketing and the impact resulting from the introduction of AI. I will contemplate the influence and outcome around ethics, trust, privacy and governance. I take a qualitative approach and will query marketers and practitioners who have applied AI to loyalty and affinity-based marketing solutions that foundationally leverage consumer behavioral data. The plan is to examine the strengths, benefits, pitfalls, and obstacles this phenomenon has ignited, and how AI-enhanced personalization of data can create an optimal consumer engagement experience and solution, and conversely the risk and exposure. Included in this evaluation will be important questions pondering perceptions around acceptable levels of intrusiveness, and where they start and stop. This is a shared concern for all stakeholders-well beyond the limits of this study. This paper will make a conceptual and philosophical argument around why ethics and ethical behavior should be inherent and a foundational cornerstone of AI, and why ethics theories, their implications and ways they give rise to the ‘moral imperative’ and support or detract from the ethical requirement of ‘do no harm’.The research plan includes interviews of 50 people and a query of interpretations and perceptions around defining and imbuing trust. The overarching concept of moral obligation will guide research and framework as the paper structure continues to evolve. Additionally, the intent is to further understand and make a case to understand and clarify the concept of trust and governance and its evolving influence, importance, and vulnerability.

View free PDFSource page

Related papers

openalexJournal of the Association for Information Systems2026-08-15

Beyond Access: The AI Divide and Sustained Value Creation in SMEs

Michael Flores, Murad Moqbel, Laurie Giddens

The digital and AI divide research conceptualizes three levels of inequality including access, capability, and outcomes, with prior research examining who can access AI tools and who has the skills to use them effectively (Carter et al., 2020). For small to medium enterprises (SM…

View free PDFSource page
openalexJournal of the Association for Information Systems2026-08-15

From Public Debate to Institutional Meaning: A Process Theory of Artificial Intelligence Framing Across Arenas

Annie Tian, Yuehua Chen

Artificial intelligence (AI) has become a major focus of organizational strategy, public debate, and policy concern, even as its capabilities and risks remain uncertain. As a general-purpose technology, AI spans industries, labor markets, and regulatory domains, making its meanin…

View free PDFSource page
openalexJournal of the Association for Information Systems2026-08-15

Designing AI to Stop Crime: A Proactive Safeguarding Framework for Generative AI Platforms

Jishan Mahmud

In April 2026, a University of South Florida suspect used ChatGPT to research body disposal, firearm logistics, and evidence concealment before allegedly killing two doctoral students (CBS News, 2026). Months earlier, Florida’s Attorney General launched a criminal investigation i…

View free PDFSource page
openalexJournal of the Association for Information Systems2026-08-15

Socratic AI Tutors in Introductory Programming

Behrooz Davazdahemami, Elham Rasouli Dezfouli

Generative AI offers introductory programming students immediate support for debugging, syntax, code explanation, and algorithmic reasoning, but the same tools can also bypass the learning processes that instructors hope to cultivate. This TREO talk presents a mixed-methods learn…

View free PDFSource page
openalexJournal of the Association for Information Systems2026-08-15

The Invisible Gap: How AI Productivity Masks Eroding Expertise in Knowledge Work – and what to do about it

Alina Asisof

Generative and agentic AI is rapidly reshaping how knowledge workers think, learn, and produce — lifting productivity substantially, with the largest gains concentrated among novices and lower-skilled workers (Brynjolfsson et al., 2025). Yet the same dynamic raises a deeper quest…

View free PDFSource page
openalexJournal of the Association for Information Systems2026-08-15

The Efficiency Paradox of Workplace AI: Understanding AI-Enabled Cyberloafing

Mariia Kyrychenko, Sara Memarian Esfahani

Generative AI is reshaping knowledge work by helping employees complete tasks faster and with less effort. However, the behavioral consequences of these efficiency gains remain underexplored. When employees perceive AI as reducing their workload, they may experience perceived sla…

View free PDFSource page