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Bye-bye Bias: What to Consider When Training Generative AI Models on Subjective Marketing Metrics Cover

Bye-bye Bias: What to Consider When Training Generative AI Models on Subjective Marketing Metrics

Open Access
|Apr 2024

References

  1. <bold>Feuerriegel, S., Hartmann, J., Janiesch, C. et al. (2023).</bold> Generative AI. Business &amp; Information Systems Engineering, 66, 111–126. <a href="https://doi.org/10.1007/s12599-023-00834-7" target="_blank" rel="noopener noreferrer" class="text-signal-blue hover:underline">https://doi.org/10.1007/s12599-023-00834-7</a>
  2. <bold>Hartmann, J., Heitmann, M., Schamp, C., &amp; Netzer, O. (2021).</bold> The power of brand selfies. Journal of Marketing Research, 58(6), 1159–1177.
  3. <bold>Van Giffen, B., Herhausen, D., &amp; Fahse, T. (2022).</bold> Overcoming the pitfalls and perils of algorithms: A classification of machine learning biases and mitigation methods. Journal of Business Research, 144, 93–106.
Language: English
Page range: 42 - 48
Published on: Apr 25, 2024
Published by: Nuremberg Institute for Market Decisions
In partnership with: Paradigm Publishing Services
Publication frequency: 2 times per year

© 2024 Christina Schamp, Jochen Hartmann, Dennis Herhausen, published by Nuremberg Institute for Market Decisions
This work is licensed under the Creative Commons Attribution-NonCommercial 4.0 License.