AI Driven Online Advertising: Market Design, Generative AI, and Ethics

Fengxiang He, Mengnan Du, Aris Filos-Ratsikas, Lu Cheng, Qingquan Song, Min Lin, John Vines

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract / Description of output

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.
Original languageEnglish
Title of host publicationWWW ’24 Companion
Number of pages3
Publication statusAccepted/In press - 16 Mar 2024
EventWWW '24: The ACM Web Conference 2024 - Singapore
Duration: 13 May 202417 May 2024


ConferenceWWW '24: The ACM Web Conference 2024
Internet address


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