Article 14: Human oversight
agent:eu:ai-act:art-14 · sha256 d1fabeebf4b449c6
Turnover framework under the act
- Art. 99(3): up to the higher of EUR 35,000,000 / 7 % of worldwide annual turnover
- Art. 99(4): up to the higher of EUR 15,000,000 / 3 % of worldwide annual turnover
- Art. 99(5): up to the higher of EUR 7,500,000 / 1 % of worldwide annual turnover
- The framework follows from article 99.
Affected roles
Not in the register yet.
Affected industries
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Obligations
Not in the register yet.
Article text
1. High-risk AI systems shall be designed and developed in such a way, including with appropriate human-machine interface tools, that they can be effectively overseen by natural persons during the period in which they are in use.
2. Human oversight shall aim to prevent or minimise the risks to health, safety or fundamental rights that may emerge when a high-risk AI system is used in accordance with its intended purpose or under conditions of reasonably foreseeable misuse, in particular where such risks persist despite the application of other requirements set out in this Section.
3. The oversight measures shall be commensurate with the risks, level of autonomy and context of use of the high-risk AI system, and shall be ensured through either one or both of the following types of measures:
(a)
measures identified and built, when technically feasible, into the high-risk AI system by the provider before it is placed on the market or put into service;
(b)
measures identified by the provider before placing the high-risk AI system on the market or putting it into service and that are appropriate to be implemented by the deployer.
4. For the purpose of implementing paragraphs 1, 2 and 3, the high-risk AI system shall be provided to the deployer in such a way that natural persons to whom human oversight is assigned are enabled, as appropriate and proportionate:
(a)
to properly understand the relevant capacities and limitations of the high-risk AI system and be able to duly monitor its operation, including in view of detecting and addressing anomalies, dysfunctions and unexpected performance;
(b)
to remain aware of the possible tendency of automatically relying or over-relying on the output produced by a high-risk AI system (automation bias), in particular for high-risk AI systems used to provide information or recommendations for decisions to be taken by natural persons;
(c)
to correctly interpret the high-risk AI system’s output, taking into account, for example, the interpretation tools and methods available;
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