Context as a Design Requirement

An early research direction on situated AI systems in development contexts.

Research question

What changes when development context is treated as a design requirement from the beginning rather than a constraint to accommodate later?

This stream explores contextual AI systems in low-resource settings and the possible role of low-resource language work. Specific field sites, partner organizations, and language projects have not been supplied or claimed.

A starting position

The relevant questions may concern connectivity, institutions, language, local knowledge, and the authority to define a useful outcome. Which of these matters must be learned in the setting rather than assumed in advance.

Methods to develop

An eventual project should identify a concrete setting, engage the relevant people in defining the problem, and specify how the system’s use would be evaluated. No field study or deployed system is reported here.

Open questions

How can a system remain useful when connectivity is intermittent? Who can correct its interpretation of local context? What evidence would show that the system supports a decision rather than merely producing plausible advice?

The notes on context and local knowledge connect this direction to the epistemic agency stream.

Results & artifacts

This is an exploratory research direction. There are no empirical results, released datasets, or publication records linked yet.

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