Post List — opinions, insights and stories shared by writers from around the world.
A view on why AI answers should show the sources and reasoning behind important claims, and how evidence trails can help readers check what a response actually supports.
This view explores how AI assistants communicate confidence, when uncertainty matters most, and how clearer limits could help people judge an answer before relying on it.
An opinion on how AI interfaces shape perceived reliability, and why sources, context, and visible limits matter when people decide whether to trust an answer.
A view on disability barriers in AI hiring assessments, the limits of uniform scoring, and why applicants need accessible alternatives before rejection.
AI meeting summaries can turn tentative suggestions into recorded commitments. A view on participant corrections, task confirmation, and recording boundaries.
A view on evaluating AI for Indian public services, where local rules, mixed-language requests, and reliable next steps matter more than fluent answers.
An opinion on why AI agents need task-scoped permissions, meaningful approvals, and enforceable limits—not unrestricted access to workplace systems.