Showing 1–12 of 113 articles
Artificial intelligence needs a maintenance shift too
Launching a tool fills a meeting; sustaining it requires time in the weekly schedule. An imaginary community radio station reveals what happens to an interview archive when nobody is assigned to review, repair and answer for its operation.
Read article
Invisible AI: The cost of ignoring how it works
The comfort of a single interface hides a complex web of subprocesses. Ignoring this technological supply chain creates opaque risks and dependencies that demand active responsibility and genuine human oversight.
Read article
Invisible AI: Official precision and hidden harm
An aggregate precision figure can hide serious damage and poorly served groups. We examine the need to break down processes, ensure human exits, and assess reversibility before automating critical decisions.
Read article
Invisible AI: Why it Needs More Democracy
Artificial intelligence often operates in the shadows. To protect autonomy and responsibility, we must demand democratic institutions that consult before deployment, not after.
Read article
Invisible AI: Present decisions, future consequences
Current technical conditions will determine for years what can be audited. We analyze how purchasing decisions define autonomy and responsibility in an invisible AI environment.
Read article
One dark streetlight can expose a shared error
An isolated complaint takes on a different meaning when others encounter the same classification. An imaginary streetlighting service shows how to investigate a shared error, repair its consequences and bring overlooked residents back into the picture.
Read article
Invisible AI: How Families Decide Without Common Criteria
Families negotiate AI use without clear guidelines. The debate should focus on learning, privacy, and autonomy, not just the technological tool itself.
Read article
The cost of leaving belongs on the price tag
A tool can save work while gradually narrowing the choices of its users. An imagined workshop reveals what a business should retain so that the convenience of today does not determine every purchase it makes tomorrow.
Read article
Invisible AI: Why Neutrality Is a Myth
Believing in neutral intelligence impoverishes debate. Every model embeds human choices about what to learn and optimize. We examine how these invisible decisions affect real people and what safeguards are needed to prevent silent harm.
Read article
Invisible AI: Understanding Real Risks
Reflecting on probabilities transforms the AI debate. Statistical averages are insufficient; we must evaluate the specific impact of each error and the human possibility of repair.
Read article
Invisible AI: Change signals we cannot ignore
Behavioral shifts in AI models are critical signals. Validating a version does not guarantee the stability of underlying data, providers, or configurations.
Read article
The Invisible AI: The Hidden Cost of Speed
Prioritizing speed can erode professional judgment. We analyze how repeated delegation alters our capabilities and what practical measures preserve autonomy when the system fails.
Read article