AI control
[/eɪ.aɪ kənˈtroʊl/]
nounpl: AI controls
controle de IA
1. Mechanisms, systems, or measures designed to manage, regulate, or govern the behavior and operations of artificial intelligence systems
Implementing AI control is essential to ensure that machine learning models operate within ethical boundaries.
Implementar controle de IA é essencial para garantir que os modelos de aprendizado de máquina funcionem dentro de limites éticos.
2. The process of monitoring and directing artificial intelligence systems to prevent harmful or unintended consequences
AI control measures include regular audits and safety testing protocols.
As medidas de controle de IA incluem auditorias regulares e protocolos de testes de segurança.
3. Regulatory frameworks and governance structures that oversee the development and deployment of AI technologies
Government agencies are developing stricter AI control policies to protect citizens.
As agências governamentais estão desenvolvendo políticas de controle de IA mais rigorosas para proteger os cidadãos.
In Brazil and the USA, 'AI control' has become increasingly prominent in discussions about technology regulation, corporate responsibility, and government policy. The term reflects growing concerns about artificial intelligence's societal impact, particularly in tech-forward cities like São Paulo and San Francisco. The concept aligns with global movements toward responsible AI development and ethical technology practices.
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