An Evaluation of the Impact of Ethical Dilemmas for Artificial Intelligence (AI) Integrated in Business Strategies

Abstract

With the rapid evolution of Artificial Intelligence (AI), businesses have included generative AI in their operations and harnessed multiple benefits such as workflow efficiency, reduced cost through task automation, human error reduction, rapid product and service development, and improved data-driven decision-making. Although numerous benefits may be achieved through generative AI inclusion, the problem is AI integration in business strategies across organizational departments includes significant consequential ethical challenges. These points of opposition may disrupt and hinder competitive advantage and damage customer acquisition as well as lead to erosion in loyalty, trust, and brand building. Ethical dilemmas in AI integration include data bias that tend to skew results discriminately, misuse of AI-driven customer targeted data, complex accountability determinacy, as well as reliability and safety risks in rapid deployments. In this paper we evaluate the ethical risks and dilemmas for AI integrated business strategies, such as AI-driven customer targeted data misuse, excessive profiling and surveillance, manipulative advertising, and challenges in assigning accountability, and provide recommendations to manage potential ethical risks associated with AI in business.

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