Safety · 5 min read

An AI Safety Checklist for Everyday Use

A grounded checklist for privacy, accuracy, bias, permissions, and human review.

AI safety starts with understanding what information you are giving a system and what decisions you are allowing it to influence. For everyday use, the most important rule is simple: do not paste sensitive data into a tool unless you understand how that data is handled.

Check accuracy before sharing outputs. AI can write confidently even when details are wrong. For facts, numbers, policies, medical topics, legal topics, or financial topics, verify with reliable sources and keep human judgment in charge.

Watch for bias in outputs that affect people. Hiring notes, performance summaries, customer risk labels, and eligibility decisions need extra care. AI can reflect patterns from training data or from biased inputs.

When using AI at work, define permissions clearly. Decide who can use which tools, what data is allowed, when approval is required, and where outputs should be stored. Good rules make AI easier to use, not harder.