Scope

Artificial Intelligence (AI) is rapidly transforming our business, social and physical world. Machine Intelligence and computing artifacts infused with AI and cognition are increasingly becoming an integral part of our social and economic activities/processes, as well as cultural and business interactions. The cognitive machine intelligence (CogMI) is creating unprecedented opportunities for impactful scientific innovations and societal transformations by significantly augmenting the human ability for problem solving and rapid decision making in terms of speed, precision and variety, while fostering innovations in all our human endeavors from scientific discoveries, solving long standing healthcare problems, modeling highly interconnected and globally distributed systems, and so forth. As we enter the new social, physical and cyber world empowered by such cognitive machine intelligence, it is important to understand and explore the foundational characteristics of the algorithmic theory and processes behind the cognitive machine intelligence, the behavioral and cognitive enhancement of intelligent machines that promote a productive and creative partnership and collaboration between the humans and the machines so as to ensure an equitable, fair and transparent CogMI-enhanced society and cyber-physical-social worlds around us.

The goal of the IEEE Conference on Cognitive Machine Intelligence (IEEE CogMI) is to create a research and development forum on cognitive machine intelligence to foster research results on AI and ML with cognitive science and behavioral science. It promotes productive collaborations among experts from multiple disciplines, such as but not limited to: computer science, electronic and computer engineering, information science, economics, industrial engineering, psychology, social and behavioral sciences, biological and physical sciences, and ethics, law and policy. IEEE CogMI aims to be a premier, highly multidisciplinary forum to foster interaction and exchange of innovative ideas, and collaboration among researchers, practitioners, philosophers from academia, industry and government sectors who are interested in developing innovative AI/ML algorithms, applications and systems by integrating cognitive science and putting humans in the loop, promoting innovations in cognitive machine intelligence.

Topics

Topics of interest are broadly from the area of machine intelligence, behavior and cognition, and include, but are not limited to, the following:

    Artificial Intelligence – theory and application
    Machine learning, neural networks and deep learning
    AI and Machine cognition
    Human-machine collaboration
    Human-robot interaction
    Neuromorphic computing
    Probabilistic Computing
    Machine behavior: bias, fairness, transparency, accountability, robustness, etc.
    Robotics and autonomous systems, and process automation
    Computer vision & image processing/recognition
    AI-optimized hardware and software
    Natural language processing/generation, text analytics and speech recognition
    Recommendation and reputation systems
    Virtual agents, chatbots, and conversational robots
    Computational mechanism design, algorithmic game theory and multi-agent systems
    Trust and Privacy in AI/ML and Deep Learning & Adversarial Machine Learning
    Decision support and management
    AI in application domains: Business & Finance, Health/Public Health, Transportation, Manufacturing, Media/Social media, Science & Engineering, Education, Social-welfare and well-being, etc.
    AI in Edge/Fog/Cloud computing, Internet of Things, and Cyber Physical Systems