Greek Language

What should a trusted Greek-language AI stack contain?

Working question

What should a trusted Greek-language AI stack contain?

Proposed agenda

Review retrieval, terminology, evaluation datasets and the difference between fluent output and task correctness.

Relevant perspectives

Language researchers, service owners, subject specialists, accessibility experts and implementation teams. These are proposed participant roles, not confirmed invitations or speakers.

Preparation

Bring a non-confidential workflow description, existing baseline, known constraints and one example of a failure. Do not submit personal or commercially confidential data. Read the relevant cases and list the questions the published evidence does not answer.

Intended output

A shared evaluation rubric, a candidate non-sensitive test set and a process for maintaining authoritative content.

Follow-through

The proposed cycle is a working session, an editorial decision note, a review period and a follow-up discussion. Dates, participation and any institutional backing will be published only when confirmed. Contributions can be submitted through the participation desk.

AIStrategy.gr working resource · 6 November 2026. Adapt this template to the actual workflow and responsible teams.