How we shape AI. How it shapes us.

AI can support a person in exploring alternatives, organising material or making an idea tangible. People contribute purpose, lived context, values and responsibility. The research question is not simply whether a task becomes faster, but what kind of partnership emerges.

Questions include how skills change with repeated assistance, when a system widens rather than narrows a person’s choices, and how meaningful human judgment can remain part of the process.

Digital anthropology offers a lens on habits, identity and culture around AI. An interface is not a neutral container: its defaults and rhythms can shape behaviour, while users develop their own ways to interpret and repurpose it.

The direction includes questions about trust, self-expression, attention and the language people use to describe artificial agents. Context matters: an interaction that helps in one setting may create dependence or confusion in another.

Delegating an action also changes the distribution of control. The central questions are what should be delegated, how a person understands what is happening, and whether they can interrupt, correct or undo it.

Useful boundaries depend on consequences. A suggestion, a draft and an irreversible external action should not be treated as equivalent. A system’s ability to act is not, by itself, a reason to let it act.

The intended approach combines close reading, reflective observation and bounded experiments. A worthwhile inquiry should state what it is asking, what was actually observed and which explanations remain uncertain.

These are research directions, not announcements of completed studies. Any future account of results should identify its context and limitations, separate evidence from interpretation, and protect the privacy of people whose experiences inform it.