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RGPD

Article 4

AI literacy

Providers and deployers of AI systems shall take measures to ensure, to their best extent, a sufficient level of AI literacy of their staff and other persons dealing with the operation and use of AI systems on their behalf, taking into account their technical knowledge, experience, education and training and the context the AI systems are to be used in, and considering the persons or groups of persons on whom the AI systems are to be used.
Common Questions

Frequently Asked Questions

What does AI literacy mean in the context of the AI Act?
AI literacy under the AI Act refers to having enough understanding and skills to effectively operate, manage, and oversee AI systems, taking into account the individual's job role, their prior experience, previous training and education, as well as understanding the particular situation in which the AI will be applied, including awareness of impacts and considerations for those affected by the system.
Whose responsibility is it to ensure staff have sufficient AI literacy?
Under the AI Act, providers and deployers of AI systems have the responsibility to take reasonable measures to ensure their staff and any other individuals working with their AI systems attain a sufficient level of AI literacy, suitable to their role and responsibilities, thereby ensuring effective, ethical, responsible, and informed use of these systems.
How should organizations measure if AI literacy is sufficient?
Organizations must evaluate AI literacy based on various factors including the complexity and risks associated with the AI system, the individual's job function, their education and professional experience, and the specific environment and particular users or individuals affected by AI operations, ensuring the standard of AI competence matches these particular contexts.
Do AI literacy requirements apply equally to everyone involved?
No, AI literacy requirements vary depending on the person's role, education level, prior experience, and specific interactions with AI systems; individuals who directly engage with, control, or supervise high-risk systems likely require deeper knowledge, while others with limited responsibilities may only require basic understanding suited to their tasks and responsibilities.