IEEE Intelligent Systems is a bimonthly publication of the IEEE Computer Society that provides peer-reviewed, cutting-edge articles on the theory and applications of systems that perceive, reason, learn, and act intelligently. The editorial staff collaborates with authors to produce technically accurate, timely, useful, and readable articles as part of a consistent and consistently valuable editorial product.

IEEE Intelligent Systems emphasizes current practice and experience and promising new ideas that will likely see use in the near future. We welcome articles on topics across the spectrum of related work. Example topics include

    Knowledge-based systems
    Intelligent software agents
    Natural language processing
    Knowledge management
    Machine learning
    Data mining
    Adaptive and intelligent robotics
    The Semantic Web
    Social issues relevant to intelligent systems

Special Issue on Intelligent and Autonomous Systems in Government
提出日: 2024-08-31

Artificial intelligence (AI)-based intelligent and autonomous systems are transforming human lives in unprecedented ways. As AI technology proliferates our society, national and local governments play a key role in enabling its widespread deployment towards improving the quality of human life, as well as in developing and shaping AI policy towards the betterment of human society. Government AI projects present some unique challenges including deploying to large population scales at national and/or regional levels, ensuring fair and responsible use of the technology, guaranteeing accessibility across different economic, demographic and socio-cultural levels, and providing methods to transparently measure and report to the public metrics related to the technology’s accountability, adoption and impact. The research methods and techniques developed in academia and industry, which form the underlying technology in many government projects, are usually not designed with many of these factors in mind. They then have to be rebuilt or redesigned before being integrated in government systems and applications. This technology ‘gap’ often culminates in significant challenges such as over-budgeted government expenses, extended project timelines, and poorly designed end-products that might not align with the project goals. Our special issue aims to bridge this technology gap through articles that describe challenges, experiences, success stories and lessons learned from the planning, design, implementation, evaluation and/or deployment of AI-based government projects. We envisage that these discussions will inform researchers with best practices for developing technologies that are relevant to, and well aligned with the needs of government projects.

Topics of interest include:
- Intelligent autonomous systems and software tools for different government-related applications including; transportation and civilian infrastructure; medicine, healthcare and emergency response; defense and international peacekeeping; cyber-security; and agriculture, environment and natural resources management;
- Multi-domain and cross-cutting operations enabled by government projects across international and inter-regional boundaries
- Fair and responsible use of AI in government projects
- Sustainable and energy-aware government projects enabled through AI
- Human-machine interactions and human-centric AI design for government projects
- Legal and ethical aspects of AI in government policies