What changes when AI has a body?
Embodied AI does not have to be conscious to change how humans relate to it. On presence, trust, voice, movement and the psychology of Human-Robot Interaction.
ReadTag archive
#trust
Publications tagged with trust.
How to ask AI for a counterargument
A practice for using AI to test your argument without treating the model as the judge, opponent or source of a final verdict.
ReadHow to Check Whether the Model Has the Context It Needs
An exercise for checking whether a model still represents the goal, constraints, sources and earlier decisions accurately - without pretending to measure the technical context window.
ReadHow not to confuse fluency with truth
A practice for pausing when an AI answer sounds coherent and confident but may hide uncertainty, assumptions, missing sources or overgeneralization.
ReadHow to ask a model about uncertainty
A practice for asking AI to show assumptions, missing context, caution levels and conditions that can change an answer.
ReadHow to check whether an AI answer has sources
A practice for breaking an AI answer into claims, sources and risk points before it enters an article, presentation, team note or decision.
ReadDo not diagnose people from emails
AI can help organize difficult communication, but it should not be used to diagnose people, personalities or intentions from correspondence.
ReadFluent does not mean true
A short note on why a smooth and convincing AI answer should not automatically earn trust.
ReadAI does not read people. It helps make sense of the situation.
A case-study based essay on how AI can help organize difficult communication: tensions, missing information, possible readings and response risks.
ReadThe model does not remember. It works with context.
When working with AI, it is easy to confuse context with memory. That mistake can lead to wrong expectations, misplaced trust and poor decisions.
ReadIt is not just about the prompt
The prompt is only the visible part of working with AI. Mature AI literacy also depends on context, cognitive load, trust, verification and responsibility.
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