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    The First IEEE International Conference On Artificial Intelligence Testing (2019 IEEE AITest) is calling for papers! The conference invites papers of original research on AI testing and reports of the best practices in the industry as well as the challenges in practice and research. Topics of interest include (but are not limited to) the following:


    Testing AI applications

    Methodologies for testing, verification and validation of AI applications

    Process models for testing AI applications and quality assurance activities and procedures

    Quality models of AI applications and quality attributes of AI applications, such as correctness, reliability, safety, security, accuracy, precision, comprehensibility, explainability, etc

    Whole lifecycle of AI applications, including analysis, esign, development, deployment, operation and evolution

    Techniques for testing AI applications

    Test case design, test data generation, test prioritization, test reduction, etc

    Metrics and measurements of the adequacy of testing AI applications

    Test oracle for checking the correctness of AI application on test cases

    Tools and environment for automated and semi-automated software testing AI applications for various testing activities and management of testing resources

    Specific concerns of software testing with various specific types of AI technologies

    Statistical machine learning and data mining

    Symbolic machine learning, decision trees and random forests, reinforcement learning

    Evolutionary methods and Genetic algorithms

    Multi-agent systems

    Heuristic search algorithms

    Cognitive computing

    Knowledge management, expert systems

    Automatic reasoning and theorem proving

    Constraint Programming and Constraint Optimization

    Metaprogramming, high-order functions, high-order logic

    Programming by example, programming synthesis, etc

    Specific concerns of software testing for various types of AI applications

    Computer vision and object recognition in image, audio and video

    Personalized recommendation systems, and business intelligence

    Driverless vehicles and autonomous robotics

    Intelligent diagnostic systems

    Decision-making support systems

    Prediction and forecast systems

    Smart cities, smart home, healthcare, and medicine, etc

    Natural language processing, and intelligent human machine interactions, etc

    Applications of AI techniques to software testing

    Machine learning applications to software testing, such as test case generation, test effectiveness prediction and optimization, test adequacy improvement, test cost reduction, etc

    Constraint Programming for test case generation and test suite reduction

    Constraint Scheduling and Optimization for test case prioritization and test execution scheduling

    Multi-agent systems for testing and test services

    Crowdsourcing and swarm intelligence in software testing

    Genetic algorithms, search-based techniques and heuristics to optimization of testing

    Knowledge-based and expert systems for software testing

    Data quality checking for AI applications

    Testing and quality assurance for unstructured training data

    Automatic validation tool for training unstructured data and big data

    Large-scale unstructured data quality certification



    Follow the link to submit your papers: http://www.ieeeaitests.com/html/callForPapers.html


    >@savyasachi –this conference is in U.S.A.  Do they sponsor speakers in any way (assuming you get selected of course)? Flights? Hotel? Do you know?</span>

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