Practical requirements extracted from policy instruments, with the source article, the actors they bind, evidence examples and original framework mappings. Legal requirements are marked; everything else is voluntary guidance.
6 results
EU AI Act · Article 4
Providers and deployers must take measures to ensure, to their best extent, a sufficient level of AI literacy among their staff and other persons dealing with the operation and use of AI systems on their behalf, taking into account technical knowledge, experience, training, the context of use and the persons affected.
PDPC AI advisory guidelines · Advisory guidelines, sections on consent, business improvement and research exceptions
Personal data used to train or operate AI systems requires consent unless an exception applies, such as the business improvement exception for improving products and services or the research exception for developing models, each subject to conditions.
EU AI Act · Article 50
Providers must ensure AI systems intended to interact with people inform them they are dealing with AI unless obvious; providers of systems generating synthetic audio, image, video or text must mark output in a machine-readable, detectable format; deployers of emotion-recognition or biometric-categorisation systems must inform exposed persons; deployers must disclose deepfakes and AI-generated text published to inform the public on matters of public interest, subject to exceptions.
PDPC AI advisory guidelines · Advisory guidelines, section on notification obligation
Organisations should inform individuals that AI systems use their personal data, the purposes, the relevant features and how they influence decisions, proportionate to the impact on the individual.
Singapore Model AI Governance Framework · Second edition, Part on human involvement in AI-augmented decision-making
Using a risk-impact matrix (probability and severity of harm), organisations choose human-in-the-loop, human-over-the-loop or human-out-of-the-loop designs and document the rationale.
Australian Voluntary AI Safety Standard · Guardrails 4, 5 and 6
Test AI models and systems before deployment and monitor them in operation; enable meaningful human control and intervention; and inform end users about AI-enabled decisions, interactions with AI and AI-generated content.
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