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

1 Scopus citations

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.

Original languageEnglish (US)
Title of host publicationWWW 2024 Companion - Companion Proceedings of the ACM Web Conference
PublisherAssociation for Computing Machinery, Inc
Pages1407-1409
Number of pages3
ISBN (Electronic)9798400701726
DOIs
StatePublished - May 13 2024
Event33rd ACM Web Conference, WWW 2024 - Singapore, Singapore
Duration: May 13 2024May 17 2024

Publication series

NameWWW 2024 Companion - Companion Proceedings of the ACM Web Conference

Conference

Conference33rd ACM Web Conference, WWW 2024
Country/TerritorySingapore
CitySingapore
Period5/13/245/17/24

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications
  • Software

Keywords

  • Algorithmic Game Theory
  • Auction
  • E-Commerce
  • Economics
  • Ethics
  • Generative AI
  • Mechanism Design
  • Online Advertising

Fingerprint

Dive into the research topics of 'AI Driven Online Advertising: Market Design, Generative AI, and Ethics'. Together they form a unique fingerprint.

Cite this