Research and EU regulation for fashion AI, digested
The EU AI Act section of Fashion AI Lab EU.
Harmonised standards under the EU AI Act offer fashion AI teams a structured path to presumption of conformity—but most of those standards do not yet exist. Here is what that gap means for your compliance programme today.
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The EU AI Act imposes distinct transparency duties across multiple articles, not just Article 50. This reference maps all seven to their legal source so your compliance file cites the right provision.
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Before you sign a contract with a fashion AI vendor, your procurement and legal teams need concrete answers on EU AI Act readiness. These eight questions give you a structured framework for that conversation.
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Article 10 of the EU AI Act sets concrete data governance obligations for high-risk AI systems. Here are nine controls fashion AI and data engineering teams must document now.
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From 'AI system' to 'general-purpose AI model', the EU AI Act's core definitions carry precise legal meanings that differ from everyday usage. This digest corrects ten of the most common misreadings by fashion technology and legal teams.
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A practical tutorial for technology and compliance teams on how to identify every AI component in a fashion product pipeline, assign provider and deployer obligations under the EU AI Act, and produce defensible documentation of the chain of responsibility.
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A practical tutorial for AI engineers and compliance teams at fashion retailers: how to produce the system card and technical documentation that the EU AI Act requires for a limited-risk product recommendation engine.
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Fashion brands integrating foundation models into product development workflows now face a distinct layer of EU AI Act obligations targeting general-purpose AI model providers and deployers. This article maps those obligations and identifies what remains unsettled.
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The EU AI Act introduces distinct conformity assessment tracks for high-risk AI systems. This primer maps those procedures to the recommendation engines and computer vision tools most commonly deployed in fashion, and explains what your technical documentation must contain.
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Retail demand forecasting AI is minimal risk under the EU AI Act—it appears nowhere in Annex III and triggers no high-risk obligations. Here is what that classification means in practice for compliance and data teams.
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The EU AI Act's extraterritorial scope means non-EU fashion brands and AI vendors serving EU markets must meet EU standards or risk exclusion. This analysis maps the compliance pressure points and where regulatory divergence creates real strategic risk.
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Training image-generation models on garment photographs and design archives creates layered legal exposure for fashion brands and AI vendors alike. This article maps the copyright, database rights, and EU AI Act documentation obligations your legal, IP, and AI product teams need to understand.
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The EU AI Act sorts AI systems into four risk tiers, each carrying distinct obligations. This guide maps the most common fashion AI use cases to those tiers and explains what compliance looks like in practice for AI governance leads and product teams.
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The EU AI Omnibus reshaped the compliance calendar for fashion brands deploying recommendation, personalisation, and design-generation systems. This article maps the substantive changes and the actions your team must take before the next enforcement date.
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Before signing an AI pilot contract, fashion procurement and legal teams need a structured governance framework. This checklist covers vendor due diligence, data-processing agreements, success-metric definition, and exit clauses.
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When a fashion enterprise builds its own internal AI platform on top of foundation models, it does not simply inherit the compliance posture of its upstream vendor. This article sets out what the EU AI Act demands of legal, compliance, and engineering leads who deploy and govern those tools.
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