Building Trustworthy AI: Human-Artificial Intelligence Interactions by Beth Coleman

Trust in Human–Artificial Intelligence Interactions by Beth Coleman.

As AI systems increasingly take on consequential public roles, the question of trust has moved from a philosophical curiosity to a practical requirement for responsible deployment. This paper offers a rare, cross‐disciplinary synthesis of how trust in AI is conceptualised across technical fields, the social sciences, and the humanities and why trust cannot be reduced to a single metric or engineering property.

Trust is not a static attitude or a technical feature. It is an ongoing relational process that links system performance to social legitimacy. Trust emerges not only from what an AI system does, but from how it is governed, how it fits into institutional contexts, and how it aligns with shared values.

Ultimately, building trustworthy AI is a multidisciplinary endeavour. The defining question is not simply whether AI systems perform well, but whether they are embedded in governance structures that support legitimate reliance and responsible interaction.

Read: http://spkl.io/604076Yoj
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