Beyond the algorithm: unveiling brand strategies to mitigate gender bias in Ai generated campaigns

De Luca, Angelica (A.A. 2023/2024) Beyond the algorithm: unveiling brand strategies to mitigate gender bias in Ai generated campaigns. Tesi di Laurea in Integrated marketing communication, Luiss Guido Carli, relatore Paolo Peverini, pp. 116. [Master's Degree Thesis]

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Abstract/Index

From digitalization to generative AI. Innovative forms of advertising production: from digitalization to AI. The breakthrough of artificial intelligence: some premises. The implementation of AI in marketing. From prediction to generation: AI in the creative industry. Generative artificial intelligence. Bias and stereotypes. Cognitive biases and information. The role of stereotypes in decision-making processes. Stereotypes and advertising. Biases and artificial intelligence: potential risks. Bias failure cases in artificial intelligence. Analysis and methodology. The research question. Cultural branding model. Methodology. The consumer brandscape. The case study “Dove”: consumer brandscape. The culture sweep. Data analysis: a content analysis.

References

Bibliografia e sitografia: pp. 111-115.

Thesis Type: Master's Degree Thesis
Institution: Luiss Guido Carli
Degree Program: Master's Degree Programs > Master's Degree Program in Marketing (LM-77)
Chair: Integrated marketing communication
Thesis Supervisor: Peverini, Paolo
Thesis Co-Supervisor: Romagnoli, Stella
Academic Year: 2023/2024
Session: Summer
Deposited by: Alessandro Perfetti
Date Deposited: 28 Jan 2025 14:50
Last Modified: 28 Jan 2025 14:50
URI: https://tesi.luiss.it/id/eprint/41053

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