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Conceptualizing ethical AI-enabled marketing: Current state and agenda for future research
16 references·0 citing·47 second hop
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References

  • 2016How the machine ‘thinks’: Understanding opacity in machine learning algorithms3,179 cited
  • 2016Seeing without knowing: Limitations of the transparency ideal and its application to algorithmic accountability1,828 cited
  • 2016Marketing Analytics for Data-Rich Environments1,255 cited
  • 2016‘Hypernudge’: Big Data as a mode of regulation by design857 cited
  • 2023Connecting the dots in trustworthy Artificial Intelligence: From AI principles, ethics, and key requirements to responsible AI systems and regulation795 cited
  • 2018AI can be sexist and racist — it’s time to make it fair764 cited
  • 2018Ethical Implications and Accountability of Algorithms754 cited
  • 2020Case Study Methodology of Qualitative Research: Key Attributes and Navigating the Conundrums in Its Application617 cited
  • 2021A Framework of Potential Sources of Harm Throughout the Machine Learning Life Cycle573 cited
  • 2019Technology, autonomy, and manipulation485 cited
  • 2014Big Data ethics466 cited
  • 2021Leveraging Artificial Intelligence in Marketing for Social Good—An Ethical Perspective408 cited
  • 2020The Ethics of AI Ethics: An Evaluation of Guidelines394 cited
  • 2019Discrimination through Optimization268 cited
  • 2018

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Transformative Marketing: The Next 20 Years
267 cited
  • 2016The personalization-privacy paradox: implications for new media249 cited
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