A probabilistic theory of trust concerning artificial intelligence: can intelligent robots trust humans?

In this paper, I argue for a probabilistic theory of trust, and the plausibility “trustworthy AI” in which we trust (as opposed to mere reliance). show that current theories cannot accommodate pertaining AI, propose an alternative theory, accounts four major types AI-related trust: AI agent’s another agent, human object (including mental complex objects). draw broadly neglected distinction between transitive intransitive senses each calls distinctive semantical theory. Based on distinction, classify into trustworthiness, showing fail model some trust; while proposed conditional unlike theories, is scalable, they would also non-AI, including interpersonal reciprocal one-sided as well objects—e.g., thoughts, data, algorithms, systems, institutions.