Showing 349–359 of 359 articles
What we give up for speed: Truth in a saturated environment
Technological speed can save seconds, but it can also remove time for learning, checking, privacy and responsible decisions.
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Why this also affects people who do not use technology: The truth in a saturated environment
Digital information does not stay on a screen: it can affect health, school, money and family life for people who barely use technology.
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The human side of an automated decision: Truth in a saturated environment
How to assess automated decisions without losing context, rights or the ability to correct them.
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What remains when the enthusiasm passes: Work when a system makes the decisions
Workplace automation does not end at launch: it needs accountable owners, funding, monitoring, appeal routes and a retirement plan so exceptions do not become invisible harm.
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The price of not looking at how it works: Work when a system makes the decisions
An opaque metric does not merely describe work: it changes which cases get handled, which risks stay hidden and who pays for errors. A practical method for workers, families and employers.
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The conversation families are already having: Work when a system makes the decisions
When an algorithm changes a shift, it does more than move a slot: it reshapes care, rest and household finances. A practical guide to asking questions, documenting facts and securing human review.
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A useful idea to understand the present: Work when a system makes the decisions
Thinking of the system as part of the boss reveals who sets metrics, who bears errors and how to demand human review capable of changing workplace decisions.
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Why this also affects those who do not use technology: Work when a system makes the decisions
Algorithmic decisions reshape schedules, prices and working rhythms even beyond their applications. A guide to recognising those effects, documenting them and demanding human safeguards.
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When what is comfortable starts to be expensive: Work when a system makes the decisions
When a system fills shifts but moves uncertainty into the home, apparent efficiency can be misleading. This guide shows how to audit the decision, protect predictability and demand human review with the power to remedy harm.
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The promise worth reading carefully: Work when a system decides
Artificial intelligence promises faster, more objective employment decisions. This guide shows how to turn sales claims into evidence, measure errors, demand meaningful human review, and protect affected people.
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The news that should concern us most: Work when a system makes the decisions
When sensors, metrics or algorithms determine shifts, performance or sanctions, a management tool can become an invisible judge. This guide explains what workers should ask, how to separate safety from discipline, and which human safeguards must exist before anyone acts on a score.
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