Call for papers: Towards Strong and General AI (Special Track)

Artificial Intelligence (AI) has made stunning advancements in various fields, such as self-driving cars, computer vision, natural language processing etc. Classic AI developing path starts from perceiving intelligence to cognitive intelligence and then human-level general intelligence. However, current AI is still mainly focusing on perceiving intelligence, recognized as weak AI. It is established for very specific applications and solve limited domain-specific tasks. In order to realize human-level, strong and general AI (AGI), it is necessary to design more general-purpose, domain-adaptive, transferable intelligent systems, which could be trained once as a single model and generalize across a variety of other tasks efficiently.

We aim to bring together researchers from the communities of AI/ML/DL, bioinformatics, neuroscience, psychology, human-machine interaction and robotics to explore the key techniques in the direction of strong and general AI. Outcomes include describing the current development, main theoretical and engineering challenges, potential solutions and future research directions.

Important Dates

  • Paper Submission: July 15, 2022
  • Notification: August 15, 2022
  • Camera-Ready Submission: August 31, 2022
  • Conference Dates: November 10-13, 2022

Topics of interest

  • Multi-modal data processing
  • General-purpose multi-task learning
  • Large-scale pre-training model
  • Self-supervised learning
  • Knowledge learning and representation
  • Cognitive computing and automation
  • Auto ML and reinforcement learning
  • Human brain-inspired intelligence
  • Theory of artificial neural networks
  • Computational neuroscience
  • Causal inference
  • Transfer learning
  • Sentiment computing
  • Brain-machine interface
  • Whole brain emulation
  • Self-learning and self-reflecting AI systems
  • Security and privacy of artificial general intelligence (AGI)
  • Development of state-of-the-art AI applications and systems

Paper Submission

Proceedings of PRICAI-2022 will be published by Springer as a volume of Lecture Notes in Artificial Intelligence (LNAI) series. All papers should be submitted electronically using the conference management tool in PDF format and formatted using the Springer LNAI template. Submitted papers should not exceed 12 pages (excluding references). Submitted papers must not be published or under consideration to be published elsewhere.

PRICAI reviewing is double blind, i.e., the authors do not know the names of the reviewers, and the reviewers cannot infer the names of the authors from the submission. The authors should avoid providing information that may identify themselves in any part of the submission. Violation of this guideline may lead to rejection without review. See Submission for more details.

Special Track Chair

Ji Zhang, University of Southern Queensland, Australia. This email address is being protected from spambots. You need JavaScript enabled to view it.