EU AI Act Compliance: Complete Implementation Guide | Quiz

Why: The article explicitly labels treating compliance as a one-time project as a dangerous assumption because the Act requires continuous monitoring and documentation updates. Context: Point-in-time fixes are insufficient – the regulation demands ongoing risk assessment and compliance demonstration throughout the AI lifecycle. Remember: Continuous compliance not one-time project – documentation must show ongoing diligence.

Why: Liability is shared between provider and deployer – using third-party AI does not transfer your deployer responsibilities for how AI is used in your context. Context: Even vendor compliance assurances do not eliminate your obligations – you remain accountable for deployment decisions and appropriate use. Remember: Shared liability – vendor compliance does not equal your compliance.

Why: AI systems used for employment and recruitment decisions are explicitly listed as high-risk in Annex III of the EU AI Act. Context: The key question is whether AI influences decisions about access to employment – credit – education – or essential services. HR chatbots screening resumes directly impact employment access. Remember: Employment decisions equals high-risk – no matter how simple the tool seems.

Why: The EU AI Act requires technical documentation to be retained for at least 10 years after the AI system deployment ends. Context: This long retention period ensures accountability and enables investigation of issues that may only become apparent years after deployment – documentation is your legal shield. Remember: Ten years minimum – documentation protects you long after deployment ends.

Why: The article explicitly advises to classify UP when in doubt because it is easier to de-escalate classification later than face retroactive penalties. Context: Many seemingly low-impact tools feed into high-risk decisions downstream – a customer service bot approving refunds may impact essential services. Remember: When in doubt – classify UP. De-escalation beats retroactive penalties.

Why: The EU AI Act uses a four-tier risk classification system: Unacceptable (Prohibited) – High Risk – Limited Risk – Minimal Risk. Context: This risk-based approach means requirements are proportional to potential harm – banned practices at the top and minimal requirements for spam filters at the bottom. Remember: Four tiers – from prohibited to minimal – each with proportional requirements.

Why: The EU AI Act specifies fines up to 35 million euros or 7% of global annual turnover for prohibited AI practice violations. Context: This penalty structure reflects the seriousness of banned practices like social scoring and manipulative AI – these carry the harshest consequences because they represent fundamental violations of EU values. Remember: 35 million or 7% – the steepest penalty for the worst violations.