Five Questions To Ask An AI Vendor About Your Data
Vendor privacy pages are written to reassure. Five specific questions that produce answers you can act on, and what an evasive response tells you.
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22 articles tagged Compliance. For the wider topic, see Privacy & Compliance.
Vendor privacy pages are written to reassure. Five specific questions that produce answers you can act on, and what an evasive response tells you.
Read article →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 →Private mode rarely means nothing is recorded. The six categories of data most AI tools keep regardless, and which ones actually matter for confidential work.
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 →Courts have largely accepted that training is transformative. The live question is now what the model produces and who is liable for it, which reaches ordinary users.
Read article →Providers began shipping enforcement points that inspect content before it reaches the model. Useful, and not the same thing as the text staying on your machine.
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 →Data protection authorities and the AI Office now cover overlapping ground. What that means when you choose where your text gets processed.
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 →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 →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 →Nine questions that produce contractual answers instead of marketing copy, and what each answer tells you about your actual exposure.
Read article →A one-page record that answers the questions an auditor, client, or regulator actually asks. What to write down, and why doing it now costs an hour instead of a week.
Read article →Data residency, jurisdictional control, and operational access are three different things. What sovereignty claims mean, and the configuration that settles all three.
Read article →DeepSeek, Qwen, Kimi, GLM, MiniMax, and Hunyuan now define the open-weights frontier and undercut Western pricing dramatically. The capability story, and the procurement questions it raises.
Read article →Model cards and system cards are the closest thing to a datasheet AI has. What to look for, what the omissions tell you, and why this is becoming a compliance document.
Read article →For European organizations, where a model runs is a compliance question. How Mistral's open lineup fits, and why sovereignty is solved by architecture more often than by geography.
Read article →Apache 2.0, MIT, Llama community licenses, and research-only terms give you very different rights. A plain-English guide to what you can legally do with a downloaded model.
Read article →How attorneys and paralegals are navigating the ethical complexities of AI by adopting secure, local tools for document review and drafting.
Read article →A deep dive into the legal and ethical conflicts between standard Non-Disclosure Agreements and the use of public cloud AI services.
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