AI Fundamentals
More to discover ↗An AI tool can help with routine work, but the task still needs to get done when the tool is unavailable or its output cannot be trusted. Learn how to identify a simple fallback, decide when to use it, and test the handoff before it matters.
Read article · 4 min↗AI can help draft pages, images, captions and summaries, but its output still needs an accessibility review. Use this practical workflow to check structure, language, links, visuals and media before you publish.
Read article · 4 min↗AI systems use electricity, and the infrastructure behind them can use water. But a single number rarely tells the whole story. Learn how to check what an estimate includes, which assumptions drive it, and whether the comparison is fair.
Read article · 4 min↗AI tools can help children explore ideas and practice skills, but the right choice depends on more than a tool’s features. Use this practical checklist to assess age fit, limit what children share, and keep a trusted adult involved.
Read article · 4 min↗Accidentally pasting a customer record, private document, or password into an AI tool can be unsettling. A calm response starts with containing further exposure, identifying what was shared, using the service’s available controls, and notifying the right people.
Read article · 4 min↗AI assistants can help troubleshoot code, draft messages and explain workflows without seeing the credentials that make those workflows run. Learn how to recognize secrets, prepare safe examples and respond if a credential slips into a chat.
Read article · 4 min↗Uploading material to an AI tool and receiving a generated result raise different copyright questions. This guide explains how to think about input permissions, output ownership, similarity, and the practical checks that matter before publishing.
Read article · 4 min↗AI tools can generate speech and images that resemble real people. A responsible workflow starts with permission, limits how a likeness may be used, and gives audiences a way to verify what is authentic. Here are practical safeguards for individuals, creators, and small teams.
Read article · 4 min↗AI can help draft, edit, illustrate and produce content, but audiences may need to know when it played a meaningful role. Learn how to decide what to disclose, where to put the notice and how to describe human review without overstating it.
Read article · 4 min↗When AI helps shape a decision, people need a practical way to ask what happened, correct mistakes and request another look. Here is a straightforward approach for small teams designing an appeal process.
Read article · 4 min↗AI can help organize information and surface questions, but it should not become an invisible decision-maker. A practical workflow for small teams to define human authority, check AI output, document reasoning and give affected people a way to challenge mistakes.
Read article · 4 min↗An AI system can be correct equally often for two groups while making different kinds of mistakes, relying on biased labels, or causing unequal harm. Learn what to examine beyond an overall accuracy score.
Read article · 4 min↗An AI tool can save time while producing different results for different groups. This guide shows small teams how to define the decision being tested, compare outcomes responsibly, investigate possible causes and make changes without treating a single metric as proof of fairness.
Read article · 4 min↗A basic AI risk assessment does not require a complex scoring system. Define the task, identify the data and people affected, test likely failure modes, and decide which safeguards must be in place before a small trial.
Read article · 4 min↗A small-team AI policy does not need to be complicated. It should tell people which tools they may use, what information must stay out of those tools, how to check AI-generated work, and what to do when they are unsure. This draft offers a starting point that a team can adapt to its own workflows.
Read article · 4 min↗AI vendor terms can be difficult to navigate. This guide explains how to check what data a service processes, which subprocessors may handle it, where it may go, and what deletion actually covers.
Read article · 4 min↗AI work can leave copies of prompts, uploaded files, chat histories and generated outputs in several places. A simple retention policy helps individuals and small teams keep what they need, remove what they do not and understand the limits of deletion.
Read article · 4 min↗A message thread, photo or recording may be easy to upload to an AI tool, but it can contain someone else’s private information. Learn when to ask permission, what a useful consent request covers and what to do if permission is unclear.
Read article · 4 min↗Before asking an AI assistant to summarize or analyze a document, remove details it does not need. This practical workflow covers choosing a safe excerpt, replacing identifiers, checking for hidden text and reviewing what the assistant produces.
Read article · 4 min↗An AI tool’s privacy settings can affect whether your prompts are saved, used to improve the service, or visible to others. Use this practical checklist to inspect those settings and decide what information is appropriate to share.
Read article · 4 min↗A prompt does not simply disappear after an AI tool answers it. Learn how inputs may be processed, stored, accessed and used for model improvement—and what to check before sharing sensitive information.
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