Working
Can explain the concept and its trade-offs.
Risk-based obligations for Castline's AI Diaries and System Users — including Article 6 and Article 50 specifics.
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Owner: Sofia Albuquerque
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Working
Can explain the concept and its trade-offs.
Led
Has done it independently and owned outcomes.
The EU AI Act is the first horizontal regulation specifically for AI systems. It classifies systems by risk and assigns proportional obligations to providers and deployers. Castline's AI Diaries are a content-generation system and our System Users (AI personas that produce 24-hour diaries) are arguably within the Article 50 disclosure scope. This skill is the operational guide for staying compliant.
Every AI system we build falls into one of four buckets:
Castline classification. AI Diary generation sits in limited risk. The System User personas that produce content also sit in limited risk. We do not currently operate any high-risk systems. This is signed off by the Head of Legal and re-evaluated each quarter — the AI Act is young, guidance evolves.
The classification is the first decision in any AI-touching Requirement Specification (developer/requirements-specification) and must be signed off by Legal before development begins.
This is the section that most directly governs Castline. Article 50 requires:
For Castline this means:
The 2026 amendment to Article 6 narrowed several exemptions for "purely accessory" AI features. Features that previously sat under limited risk may now require high-risk treatment if they materially influence access to a regulated service.
For Castline this most affects: any AI-driven moderation that could affect a user's ability to use the service (account-suspension recommendations), any AI-driven age verification, and any AI-driven content prioritisation that could exclude protected speech. Legal triages new features against the updated Article 6 criteria during spec review.
Foundation models (GPAI) carry their own obligations on top of the system-level risk classification. We do not host or fine-tune foundation models — we use OpenAI Assistants and Google Cloud Vision via their APIs. Our DPA with OpenAI confirms they are the GPAI provider for the Assistants service and we operate as a downstream deployer. This is the relevant compliance posture and we maintain it explicitly in legal/data-processing-agreements.
If we begin to fine-tune or self-host a foundation model — currently not on the roadmap — we inherit a subset of GPAI provider duties, including technical documentation of the model and a sufficiently detailed summary of training content.
If a system is classified as high-risk we must, before placing it on the market: complete a conformity assessment, register the system in the EU database, implement a lifecycle risk management process, maintain technical documentation, keep automatic logs, ensure human oversight is meaningful, and meet accuracy/robustness/cybersecurity thresholds. None of Castline currently meets the high-risk threshold; this section exists so that we recognise the shift if it occurs.
Head of Legal & Compliance. Audited by the Master skill on a 30-day cadence.