The Ethical Librarian

Why search results feel worse every year How recommendation engines trap us in bubbles The cost of drowning in low-quality content

From search engine to trusted guide Explaining answers instead of just linking pages Showing what was included and what was left out

Filtering true harm, not mere disagreement Handling hate speech and harassment responsibly Transparency when content is limited or blocked

Centering human dignity in system design Avoiding bias, discrimination, and erasure Letting communities define their own red lines

Layers of explanation, from simple to deep Connecting history, science, and lived experience Keeping knowledge updated as facts change

What personalization without tracking looks like Local-first, ephemeral, and anonymous interactions Respecting forgetfulness as a human right

Ways billionaires influence labs, datasets, and safety priorities Soft corruption: subtle bias, missing stories, and flattering narratives Keeping AI independent from oligarchs and concentrated wealth

Why AI should be treated as public infrastructure Models for public, cooperative AI ownership Holding AI institutions accountable to the people