Call For Papers

Important Deadlines
Workshop & Panels proposal: 20 Nov 2023
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Abstract submissions: 13 Dec 2023    2 Jan 2024
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Paper submission (long & short papers): 20 Dec 2023    8 Jan 2024
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Acceptance notifications & reviewers’ comments: 25 Mar 2024
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Final reviewed submission: 25 Apr 2024 
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Note: Submissions of both short papers [2 pages + 2 pages (additional charges)] and full papers [6 pages + 2 pages (additional charges)].

Paper Submission and Guidelines

CAI 2024 seeks original, high-quality proposals describing the research and results that contribute to advancements in the following AI applications and verticals. We also welcome paper submission(s) that are not confined to the topics mentioned in the vertical tracks listed below.   

  • AI and Education 

Involve the creation of adaptive learning systems, personalised content delivery, and administrative automation. It also utilises predictive analytics to monitor student progress and identify learning gaps.   

  • AI and Sustainability

Employ AI to optimise resource usage, reduce waste, and support renewable energy initiatives. It leverages AI’s problem-solving capabilities to address environmental challenges and contribute to a sustainable future.  

  • AI in Healthcare and Life Science 

Explore the need for improved decision-making to assist medical practitioners as well as additional medical issues including personnel allocation and scheduling, automated sensing, improved medical devices and manufacturing processes, and supply chain optimisation.  

  • AI in Metaverse

Venture into a sophisticated combination of virtual reality (VR), augmented reality (AR), and advanced artificial intelligence (AI) in this vast, interconnected 3D virtual space. It examines how AI-driven non-human avatars further enhance Digital Twin technologies and enrich the Metaverse experience, blurring boundaries between reality and the virtual space. 

  • AI in Multi-agents and Robotic Systems

Multi-Agent Systems (MAS) in Artificial Intelligence study how multiple intelligent agents or robots work together to achieve tasks under common goals or distinct interest scenarios. It involves mixing agents with humans to address raising trust and safety concerns.

  • Foundation Models and Generative AI

Delve into the power of foundation models and generative AI, leveraging knowledge representation, crossing modality gaps, and reshaping data generation. It harnesses generative AI to innovate and ensure robustness, fairness, transparency, while understanding the challenges in deploying the foundation models. 

  • Industrial AI 

Revolutionise aerospace, transportation, and manufacturing sectors through optimising system design, autonomous navigation, and management logistics. Its application to power systems enhances grid efficiency, predictive maintenance, and cybersecurity, shaping a smarter and more resilient energy landscape. 

  • Resilient and Safe AI 

Develop AI systems that are reliable, secure, and able to withstand unexpected situations or cyberattacks. It emphasises the importance of creating AI technologies that function correctly and safely, even under adverse conditions, while also maintaining data privacy and system integrity.  

  • Societal Implications of AI 

Explore the impact of artificial intelligence on society, including issues related to ethics, privacy, and equity. It examines how AI influences job markets, decision-making processes and personal privacy, while also considering the importance of fairness, transparency, and accountability in AI systems. 

Important Notes:

Double-blind reviewing: All submissions must be anonymised and may not contain any identifying information that may violate the double-blind reviewing policy.  This policy applies to any supplementary or linked material as well, including code. If you are including links to any external material, it is your responsibility to guarantee anonymous browsing. Please do not include acknowledgements at submission time. If you need to cite one of your own papers, you should do so with adequate anonymisation to preserve double-blind reviewing.  For instance, write “In the previous work of Smith et al. [1]…” rather than “In our previous work [1]…”). If you need to cite one of your own papers that is in submission to IEEE CAI 2024 and not available as a non-anonymous preprint, then include a copy of the cited anonymised submission in the supplementary material and write “Anonymous et al. [1] concurrently show…”). 

IEEE Publications Regarding AI-Generated TextThe use of artificial intelligence (AI)–generated text in an article shall be disclosed in the acknowledgments section of any paper submitted to an IEEE Conference or Periodical. The sections of the paper that use AI-generated text shall have a citation to the AI system used to generate the text. 

Dr Nancy CHEN
Dr Abhishek GUPTA
Professor Masashi SUGIYAMA
IEEE CAI 2024 Program Co-Chairs

Professor Hussein ABBASS
Professor Yew Soon ONG
Professor Ivor TSANG
IEEE CAI 2024 General Co-Chairs