Generative Artificial Intelligence in Marketing: The Invisible Danger of AI Hallucinations
Öz
Anahtar Kelimeler
Kaynakça
- Aporia. (2023). AI Chatbot Hallucinations: Understanding and Mitigating Risks. Retrieved from https://www.aporia.com/learn/chatbot-hallucinations/
- Bender, E. M., Gebru, T., McMillan-Major, A., & Shmitchell, S. (2021). On the dangers of stochastic parrots: Can language models be too big? Proceedings of the 2021 ACM Conference on Fairness, Accountability, and Transparency, 610–623.
- Bernard, A. (2023). AI in ecommerce: True one-on-one personalization is coming. CMSWire. Retrieved April 21, 2023.
- Bhattacharya, R. (2024). Strategies to mitigate hallucinations in large language models. Applied Marketing Analytics, 10(1), 62–67.
- Breck, E., Cai, S., Nielsen, E., Salib, M., & Sculley, D. (2021). The ML Test Score: A rubric for ML production readiness and technical debt reduction. Proceedings of the IEEE International Conference on Big Data.
- Brown, T. B., Mann, B., Ryder, N., Subbiah, M., Kaplan, J., Dhariwal, P., Neelakantan, A., Shyam, P., Sastry, G., Askell, A., Agarwal, S., Herbert-Voss, A., Krueger, G., Henighan, T., Child, R., Ramesh, A., Ziegler, D. M., Wu, J., Winter, C., ... & Amodei, D. (2020). Language models are few-shot learners.
- Butler, R. (2023). Where are marketers on the GAI adoption curve? CMSWire. Retrieved May 4, 2023.
- Chaffey, D. (2020). AI in digital marketing: How businesses are using AI to create personalized experiences. Smart Insights.
Ayrıntılar
Birincil Dil
İngilizce
Konular
Dijital Pazarlama, Pazarlama Teknolojisi
Bölüm
Araştırma Makalesi
Yazarlar
Burak Yaprak
*
0000-0001-9831-0813
Türkiye
Erken Görünüm Tarihi
31 Aralık 2024
Yayımlanma Tarihi
31 Aralık 2024
Gönderilme Tarihi
22 Kasım 2024
Kabul Tarihi
27 Aralık 2024
Yayımlandığı Sayı
Yıl 2024 Cilt: 8 Sayı: 2
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