Official introduction
AI ยท UtawalaDiscussion context
Why this matters: Better recommendations can require sensitive information and create hidden influence.
The central tension is between using detailed personal data and limiting profiling and inference. This is a welcoming space for evidence, practical experience and respectful disagreement.
Discussion safeguard: Require transparency that AI systems can be wrong. Do not present automated output as verified professional judgment without review.
Opening question
What principles, evidence or lived experiences should guide decisions about personalisation and privacy, and where should reasonable people be allowed to disagree?
Objectives
Share useful examples without exposing private information.Identify common mistakes and overlooked risks.Suggest realistic actions for individuals, communities or institutions.
Expected outcome
A balanced community position showing where the approaches agree, where they differ and what practical safeguards are needed.