Leveraging Artificial Intelligence in Marketing for Social Good-An Ethical Perspective

被引:95
作者
Hermann, Erik [1 ]
机构
[1] IHP Leibniz Inst Innovat Mikroelekt, Wireless Syst, Frankfurt, Germany
关键词
Artificial intelligence; Marketing; Ethics; Social good; Well-being; AI; CONSUMER; EXPERIENCES; FUTURE; WORLD; AGE;
D O I
10.1007/s10551-021-04843-y
中图分类号
F [经济];
学科分类号
02 ;
摘要
Artificial intelligence (AI) is (re)shaping strategy, activities, interactions, and relationships in business and specifically in marketing. The drawback of the substantial opportunities AI systems and applications (will) provide in marketing are ethical controversies. Building on the literature on AI ethics, the authors systematically scrutinize the ethical challenges of deploying AI in marketing from a multi-stakeholder perspective. By revealing interdependencies and tensions between ethical principles, the authors shed light on the applicability of a purely principled, deontological approach to AI ethics in marketing. To reconcile some of these tensions and account for the AI-for-social-good perspective, the authors make suggestions of how AI in marketing can be leveraged to promote societal and environmental well-being.
引用
收藏
页码:43 / 61
页数:19
相关论文
共 181 条
  • [1] Amazon, 2020, ALL STAYING COURSE O
  • [2] Amazon, 2021, Q RESULTS 2020 Q4 EA
  • [3] Customer experiences in the age of artificial intelligence
    Ameen, Nisreen
    Tarhini, Ali
    Reppel, Alexander
    Anand, Amitabh
    [J]. COMPUTERS IN HUMAN BEHAVIOR, 2021, 114
  • [4] Seeing without knowing: Limitations of the transparency ideal and its application to algorithmic accountability
    Ananny, Mike
    Crawford, Kate
    [J]. NEW MEDIA & SOCIETY, 2018, 20 (03) : 973 - 989
  • [5] The General Data Protection Regulation in the Age of Surveillance Capitalism
    Andrew, Jane
    Baker, Max
    [J]. JOURNAL OF BUSINESS ETHICS, 2021, 168 (03) : 565 - 578
  • [6] Mindfulness: Its Transformative Potential for Consumer, Societal, and Environmental Well-Being
    Bahl, Shalini
    Milne, George R.
    Ross, Spencer M.
    Mick, David Glen
    Grier, Sonya A.
    Chugani, Sunaina K.
    Chan, Steven S.
    Gould, Stephen
    Cho, Yoon-Na
    Dorsey, Joshua D.
    Schindler, Robert M.
    Murdock, Mitchel R.
    Boesen-Mariani, Sabine
    [J]. JOURNAL OF PUBLIC POLICY & MARKETING, 2016, 35 (02) : 198 - 210
  • [7] Algorithm Overdependence: How the Use of Algorithmic Recommendation Systems Can Increase Risks to Consumer Well-Being
    Banker, Sachin
    Khetani, Salil
    [J]. JOURNAL OF PUBLIC POLICY & MARKETING, 2019, 38 (04) : 500 - 515
  • [8] Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challenges toward responsible AI
    Barredo Arrieta, Alejandro
    Diaz-Rodriguez, Natalia
    Del Ser, Javier
    Bennetot, Adrien
    Tabik, Siham
    Barbado, Alberto
    Garcia, Salvador
    Gil-Lopez, Sergio
    Molina, Daniel
    Benjamins, Richard
    Chatila, Raja
    Herrera, Francisco
    [J]. INFORMATION FUSION, 2020, 58 : 82 - 115
  • [9] Beauchamp TL, 2013, PRINCIPLES BIOMEDICA
  • [10] Ethical issues in service robotics and artificial intelligence
    Belk, Russell
    [J]. SERVICE INDUSTRIES JOURNAL, 2021, 41 (13-14) : 860 - 876