ETHICS






Key Takeaways
Corporate Digital Responsibility (CDR) focuses on ethically managing technology and data in the digital realm. As AI plays a larger role in decision-making, CDR advocates for:
  • Transparency: Ensuring AI decision-making is understandable and accountable.
  • Bias: Addressing biases in AI to prevent discrimination and unfair practices.
  • Data Privacy: Ethically collecting and using consumer data, balancing personalization with privacy.


“Humans have the basic attributes needed for moral agency, attributes that smart machines do not have and which are very difficult to implant in them.”

Incorporating Ethics into Artificial Intelligence. The Journal of Ethics.




References
  • Campbell, C., Plangger, K., Sands, S. & Kietzmann, J. (2022) Preparing for an Era of Deepfakes and AI-Generated Ads: A Framework for Understanding Responses to Manipulated Advertising, Journal of Advertising, 51:1, 22-38.
  • Etzioni, A. and Etzioni, O., 2017. Incorporating Ethics into Artificial Intelligence. The Journal of Ethics, 21(4), pp. 403-418.
  • Gao, B., Wang, Y., Xie, H., Hu, Y., & Hu, Y. (2023). Artificial Intelligence in Advertising: Advancements, Challenges, and Ethical Considerations in Targeting, Personalization, Content Creation, and Ad Optimization. SAGE Open, 13(4).
  • Haenlein, M., & Kaplan, A. ,2019. A Brief History of Artificial Intelligence: On the Past, Present, and Future of Artificial Intelligence. California Management Review, 61(4), 5-14.
  • Hairong Li (2019) Special Section Introduction: Artificial Intelligence and Advertising, Journal of Advertising, 48:4, 333-337
  • Hermann, E., 2022. Leveraging Artificial Intelligence in Marketing for Social Good—An Ethical Perspective: JBE. Journal of Business Ethics, 179(1), pp. 43-61.
  • Huang, M.-H., & Rust, R. T., 2018. Artificial Intelligence in Service. Journal of Service Research, 21(2), 155-172.
  • Jenna Burrell, “How the Machine ‘Thinks’: Understanding Opacity in Machine Learning Algorithms,” Big Data & Society, 3/1 (June 2016): 1-12.
  • Jobin, A., Ienca, M., & Vayena, E., 2019. The global landscape of AI ethics guidelines. Nature Machine Intelligence, 1(9), 389–399.
    • Lobschat, L., Mueller, B., Eggers, F., Brandimarte, L., Diefenbach, S., Kroschke, M. and Wirtz, J., 2021. Corporate digital responsibility. Journal of Business Research, 122, pp.875-888.


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