Call for Papers: IEEE Conference on Artificial Intelligence (IEEE CAI)

5-7 May 2025 | Santa Clara, California, USA
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Submissions Due: Various
  • Workshop & Panels proposal deadline: 1 November 2024
  • Poster paper submission deadline (2 pages max): 1 December 2024
  • Acceptance notifications and reviewers’ comments: 1 February 2025
  • Final reviewed submission deadline: 1 March 2025

Conference Date: 5-7 May 2025


IEEE Conference on Artificial Intelligence (IEEE CAI)

The IEEE Conference on Artificial Intelligence (IEEE CAI) is an international conference and exhibition with an emphasis on the applications of AI and key AI verticals that impact industrial technology applications and innovations. You’ll learn about new research and breakthroughs in the industry, gain insight into new start-ups and leading AI companies, grow your network, and get inspired by the brightest minds working in the multi-faceted fields. Plan now to attend this highly anticipated spectacular event, taking place May 5-7, 2025 in Santa Clara, CA.

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Papers submittals for Posters, Workshops, and Panel Proposals

CAI 2025 seeks original, high-quality technical papers, presentations, and 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 in Transportation/Aerospace

Focus includes the optimal design of aerospace systems using AI; large- and small-scale transportation systems; deep learning for autonomous driving; and autonomous decision making in long-term space flight management. Read more…

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. Read more…

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. Read more…

AI in Energy

AI tools have a noticeable impact on energy sectors and can be utilized in Power load forecasting, Power generation forecast of renewable energy to improve agility and resilience; Smart Grid Control, and Power Network Security Protection. Read more…

AI System Quality Assurance and Standards

Address the urgent and critical demand, and provides the first platform to support academic researchers, industry quality assurance groups, and practitioners to propose, discuss, and exchange AI and application system quality assurance issues, ideas, metrics, standards, and control systems. Read more…

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. Read more…

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. Read more…

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. Read more…

AI System Security, Safety, and Trustworthy

Develop AI systems that are reliable, secure, and trustworthy is necessary and critical to the society and the public to withstand unexpected situations or cyberattacks. It emphasises the importance of creating AI technologies that are secure and trustworthy, and provide service functions correctly and safely, even under adverse conditions, while also maintaining data privacy and system integrity. Read more…

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. Read more…

 

Papers accepted by IEEE CAI will be submitted to the IEEE Xplore ® Digital Library. Selected high-quality papers will be further invited for submission to a journal special issue.