ONTrust: A Reference Ontology of Trust

Researchers and computer scientists have introduced ONTrust, a new reference ontology of trust, through a formal paper published on the arXiv preprint repository in February 2025 to address the growing complexity of human-machine interactions and decentralized systems. The framework was developed to provide a standardized conceptual foundation for trust in an era where rapid technological shifts are fundamentally altering how individuals and organizations interact. By formalizing these concepts, the creators aim to bridge the gap between human social expectations and the technical implementation of emerging digital infrastructures. The development of ONTrust comes at a critical juncture where innovations such as generative artificial intelligence and large language models are creating machines that appear increasingly humanlike. This shift necessitates a clearer understanding of how trust is established and maintained between human users and autonomous agents. The ontology serves as a structural map to help developers and ethicists categorize the multifaceted nature of trust, ensuring that as AI becomes more integrated into daily life, its reliability and social integration are grounded in a common theoretical framework. Beyond artificial intelligence, the ONTrust paper highlights the rise of decentralized technologies, such as blockchain and distributed ledgers, which have introduced entirely new paradigms of systemic trust. Unlike traditional centralized models that rely on a single authority, these new technologies distribute trust across a network, creating a need for a unified language to describe these interactions. The researchers argue that having a reference ontology is essential for the design of products and services that not only perform efficiently but also contribute positively to both individual and collective well-being in a digital-first society.