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    • Cognitive motivations and foundations for building intelligent decision-making systems
    Tác giả : Zdzisław, Kowalczuk; Michał Czubenko, Czubenko;  Người hướng dẫn: -;  Đồng tác giả: - (2023)

    Concepts based on psychology fit well with current research trends related to robotics and artificial intelligence. Biology-inspired cognitive architectures are extremely useful in building agents and robots, and this is one of the most important challenges of modern science. Therefore, the widely viewed and far-reaching goal of systems research and engineering is virtual agents and autonomous robots that mimic human behavior in solving known and unknown problems. The article proposes, at a high level of generality, an operational cybernetic model of the human mind, developed with the use of carefully selected ideas taken from psychological knowledge.
    • Knowledge Graphs: Opportunities and Challenges
    Tác giả : Ciyuan, Peng; Feng, Xia; Mehdi, Naseriparsa;  Người hướng dẫn: -;  Đồng tác giả: - (2023)

    With the explosive growth of artificial intelligence (AI) and big data, it has become vitally important to organize and represent the enormous volume of knowledge appropriately. As graph data, knowledge graphs accumulate and convey knowledge of the real world. It has been well-recognized that knowledge graphs effectively represent complex information; hence, they rapidly gain the attention of academia and industry in recent years. Thus to develop a deeper understanding of knowledge graphs, this paper presents a systematic overview of this field. Specifically, we focus on the opportunities and challenges of knowledge graphs. We first review the opportunities of knowledge graphs in terms of two aspects: (1) AI systems built upon knowledge graphs; (2) potential application fields of kn...
    • The Ethics of Artificial Intelligence for Intelligence Analysis: a Review of the Key Challenges with Recommendations
    Tác giả : Alexander, Blanchard; Mariarosaria, Taddeo;  Người hướng dẫn: -;  Đồng tác giả: - (2023)

    Intelligence agencies have identified artificial intelligence (AI) as a key technology for maintaining an edge over adversaries. As a result, efforts to develop, acquire, and employ AI capabilities for purposes of national security are growing. This article reviews the ethical challenges presented by the use of AI for augmented intelligence analysis. These challenges have been identified through a qualitative systematic review of the relevant literature. The article identifies five sets of ethical challenges relating to intrusion, explainability and accountability, bias, authoritarianism and political security, and collaboration and classification, and offers a series of recommendations targeted at intelligence agencies to address and mitigate these challenges.