Artificial Intelligence: The Importance of Trust & Distrust

Trust, Distrust, and Power

Aggregation of Gradual Trust and Distrust

Trust and distrust are two increasingly important metrics in social networks, reflecting users’ attitudes and relationships towards each other. In this paper, we study the indirect derivation of these metrics’ values for users that do not know each other, but are connected through the network. In particular, we focus on the aggregation step that is required for fusing trust and distrust informa...

The Place of Ethical Intelligence in Management of Organizational Trust

Background: Moral intelligence is one of the dimensions of intelligence that can provide a framework for proper human functioning. The purpose of this study is to investigate the position of moral intelligence in the management of organizational trust of credit institutions. Method: The research is developmental-applied in terms of purpose and mixed (qualitative-quantitative) in terms of metho...

Trust and Distrust: New Relationships and Realities

We propose a new theoretical framework for understanding simultaneous trust and distrust within relationships. grounded in assumptions of multidimensionality and the inherent tensions of relationships. and we separate this research from prior work grounded in assumptions of unidimensionality and balance. Drawing foundational support for this new framework from recent research on simultaneous po...

Gradual trust and distrust in recommender systems

Trust networks among users of a recommender system (RS) prove beneficial to the quality and amount of the recommendations. Since trust is often a gradual phenomenon, fuzzy relations are the pre-eminent tools for modeling such networks. However, as current trust-enhanced RSs do not work with the notion of distrust, they cannot differentiate unknown users from malicious users, nor represent incon...