Important Dates
- Abstract submissions: 13 December 2023
- Paper submission (long & short papers): 20 December 2023
- Acceptance notifications & reviewers’ comments: 25 March 2024
- Final reviewed submission: 25 April 2024
Paper Submission and Guidelines
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 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.
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.
Submission Guidelines
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 Text: The 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.
All papers must adhere to the following formatting:
- Papers should be original and not currently under review at another venue.
- To help ensure correct formatting, please use the IEEE style files for conference proceedings as a template for your submission. These include LaTeX and Word style files, which are available here. (choose Conferences > LaTeX | Word).
- In order to implement the double-blind reviewing policy, please use the following author statement in the latex file: \author{\IEEEauthorblockN{Anonymous Authors}}
- Only papers in PDF format will be accepted.
- Paper Size: A4 (210mm x 297mm).
- Paper Length: Each long paper should have at most 6 pages, while each abstract paper should have at most 2 pages, including figures, tables and references. A maximum of two extra pages per paper is allowed (i. e., up to 8 pages for long paper and 4 pages for abstract paper), but with additional charge.
- Paper Formatting: double column, single spaced, #10 point Times Roman font. Please make sure to use the official IEEE style files provided above. No page numbers please. We will insert the page numbers for you.
- New authors cannot be added after submission deadline.
