Special Session 3

This special session is organised and supported by  the following educational partner

King Abdulaziz University, Kingdom of Saudi Arabia


Session Chair:

  • Dr. Walaa Bajnaid

Session Co-chair:

  • Dr.Aitizaz Ali (UNITAR International University, Malaysia)


Artificial intelligence (AI) has affected the media sector in general. AI have been used to automate and enhance media productions, distribution, and consumption. The applications of AI in media include editing video and audio, generating media content, subtitles, and captioning. AI-powered tools can also analyse social media data and provide insight into audience preferences and behaviour.
However, the increasing use of AI in media also raises concerns about ethics. Issues of bias, privacy
and authenticity might be associated with using AI in the media sector. Thus, the aim of this session
is to bring practitioners, researchers, and industry professionals together to discuss the most recent
advancements, problems, and possibilities about the interface of AI in media.


Therefore, this special session invites authors to submit high-quality research papers on emerging technology for media application, covering topics which include (but are not limited to) the following:

  • AI in media production and automation
  • Natural language processing and sentiment analysis in media
  • AI application in media and entertainment
  • AI and audiovisual narratives
  • AI powered journalism and newsroom automation
  • Ethics and privacy in AI and media
  • Media narrative generated by AI
  • Discourses and rhetoric of AI
  • The effects of AI on the media industries
  • AI in advertising and marketing
  • Legal challenges surrounding the use of AI in digital media
  • Application of AI algorithms and automation of video editing
  • AI algorithms and techniques for detecting and mitigating deep fake content

Paper Submission:

Prospective authors are invited to submit full-length papers (not exceeding 6 pages) conform to the IEEE format . All papers will be handled and processed electronically via the EDAS online submission system.