Interest in implementing artificial intelligence (AI)–based software in the public sector is
growing. First implementations and research in individual public services have already been …

Biometrics and biometric-enabled decision support systems (DSS) have become a
mandatory part of complex dynamic systems such as security checkpoints, personal health …

Recognizing, assessing, countering, and mitigating the biases of different nature from
heterogeneous sources is a critical problem in designing a cognitive Decision Support …

This paper describes a study on the perceived risk and trust of members of the general
public regarding artificial intelligence applications. It assesses whether there is a difference …

Synthetic, or artificial data is used in security applications such as protection of sensitive
information, prediction of rare events, and training neural networks. Risk and trust are …

This paper advocates for causal models of the emergency management cycle (EMC) for
decision support in epidemic or pandemic scenarios. The model capability is demonstrated …

Assessment of risks of pandemics to communities and workplaces requires an intelligent
decision support system (DSS). The core of such DSS must be based on machine reasoning …

Contemporary Epidemiological Surveillance (ES) relies heavily on data analytics. These
analytics are critical input for pandemics preparedness networks; however, this input is not …

Biometric-based human trait and behavior recognition is a critical component of the rapidly
growing domain of ambient intelligence. Particular applications of interest are biometric …