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The dark side of artificial intelligence in retail services innovation

  • Ali Mahmoud
  • , Leonora Fuxman
  • , Shehnaz Tehseen
  • , E Pantano (Editor)

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

10 Downloads (Pure)

Abstract

Many academic scholars argue that the goal of using artificial intelligence (hereafter, AI) in business has been to serve humans in performing their jobs. Yet, some scholars refute such arguments and warn against potential threats of AI to humankind in the future. AI or machine intelligence comprises three main aspects, i.e., learning, reasoning, and self-correction which aggregate to conjure up the artificial mind. In retailing, the employment of AI is progressively becoming a major theme of innovation and retailers are rapidly increasing the use of machine intelligence to efficiently simulate human intelligence and become more competitive through cutting costs and improving customer journeys. However, such benefits can be catastrophic in the long run. Hereby, this chapter represents an attempt to produce a synthesis of current research on the use of AI in retailing and identify the possible benefits or ramifications on the human pillars of the retail process (i.e., the employers, employees, and customers). Finally, this chapter aims to reflect on relevant literature to conclude future research and industrial implications.
Original languageEnglish
Title of host publicationRetail Futures: The good, the bad and the ugly of the digital transformation
PublisherEmerald Publishing Limited
DOIs
Publication statusPublished - 7 Oct 2020

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 9 - Industry, Innovation, and Infrastructure
    SDG 9 Industry, Innovation, and Infrastructure

Keywords

  • Neural Networks
  • ChatGPT
  • Artificial Intelligence
  • Generative AI
  • GPT
  • Generative Artificial Intelligence
  • AI Ethics
  • Quantum Artificial Intelligence
  • AI risk
  • Retail Innovation
  • Bard
  • Business Ethics
  • Machine Learning

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