AI Driven Online Advertising: Market Design, Generative AI, and Ethics
Document Type
Conference Proceeding
Publication Date
5-13-2024
Abstract
Online advertising contributes a considerable part of the tech sector’s revenue, and has been remarkably influencing the public agenda. With evolving developments, AI is playing an increasingly significant role in online advertising. We propose to create a forum for researchers, developers, users, ventures, policymakers, and other stakeholders to exchange ideas, research, innovations, etc. with emphasis on (1) AI driven mechanism design for distributing advertisements, (2) generative AI for creating content in advertisements, such as the promotion images/videos, and (3) ethics issues, especially in political advertisements, such as user privacy, fairness, hating speech, misinformation, etc. Relevant but not mentioned areas are also much encouraged. We plan to organize a half-day workshop.
Identifier
85194490147 (Scopus)
ISBN
[9798400701726]
Publication Title
WWW 2024 Companion - Companion Proceedings of the ACM Web Conference
External Full Text Location
https://doi.org/10.1145/3589335.3641295
First Page
1407
Last Page
1409
Recommended Citation
He, Fengxiang; Du, Mengnan; Filos-Ratsikas, Aris; Cheng, Lu; Song, Qingquan; Lin, Min; and Vines, John, "AI Driven Online Advertising: Market Design, Generative AI, and Ethics" (2024). Faculty Publications. 422.
https://digitalcommons.njit.edu/fac_pubs/422