Topic
21 articles tagged Policy. For the wider topic, see Privacy & Compliance.
Detection scores are being used to make decisions about people. What the tools actually measure, why they misfire on specific groups, and how to respond to an accusation.
Read article →Not every AI-assisted sentence needs a footnote. Where disclosure is genuinely required, where it is courtesy, and how to say it without undermining the work.
Read article →Using AI to write is not a violation. Scaled content abuse is. Where Google draws the line, in its own words, and what that means for your drafts.
Read article →Cloudflare set a September 2026 deadline for mixed-use crawlers. What blocking actually costs you, who should do it, and how to decide per crawler.
Read article →A blanket AI notice on every post says nothing useful. How to decide when disclosure is required, when it helps, and what wording actually informs a reader.
Read article →Programmatic pages are not automatically spam, and hand-written ones are not automatically safe. The test Google applies, and how to stay on the right side.
Read article →The C2PA standard now covers text, and Article 50 requires machine-readable marking of synthetic content. What that actually means for the email you just rewrote.
Read article →From 2 August 2026 the Commission can investigate general-purpose AI providers, demand model access, and fine them. What that means for the companies you buy AI from.
Read article →Colorado delayed, California finalized, Illinois took effect. A patchwork of state AI employment rules is now the practical constraint for US employers.
Read article →Most teams accumulated a dozen overlapping AI subscriptions in two years. A consolidation method that keeps what works and cuts what was bought during a demo.
Read article →Article 50 transparency rules took effect on 2 August 2026. What legally requires disclosure, what does not, and how to write a policy you can actually apply.
Read article →A large majority of workplace AI users bring unapproved tools. A policy that acknowledges that, gives followable rules, and closes the gap that caused it.
Read article →Transparency obligations, general-purpose AI enforcement, and the full penalty regime take effect. High-risk duties were deferred. What applies to an ordinary business using AI writing tools.
Read article →High-risk obligations moved to December 2027 and August 2028. Why the deferral happened, what it changes, and why treating it as breathing room is the wrong reading.
Read article →Roughly a third of employees have put confidential data into public AI tools, and most workplace AI use is unsanctioned. The data, and why prohibition has failed as a strategy.
Read article →AI detection tools are being pointed at work emails, reports, and applications. Here is what their scores mean, where they fail, and what to do if you are accused.
Read article →Nine things to establish before your team uses an AI writing tool on anything containing personal data, from lawful basis to transfers to the record of processing.
Read article →Find out which AI tools your team is really using, what data has gone into them, and what to do next. A one-week audit that does not turn into a witch hunt.
Read article →A one-page AI policy that people will actually follow, covering approved tools, what never gets pasted, disclosure rules, and who decides. With a template.
Read article →A practical line between assistance and authorship, plus what to say when disclosure is warranted and why blanket AI disclaimers usually backfire.
Read article →Announce a workplace policy change with the effective date, affected people, required actions, support, and source of truth.
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