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Home / Glossary / AI safety

What is AI safety?

AI safety focuses on ensuring that artificial intelligence systems operate reliably and do not pose unintended risks to humans. This includes preventing harmful behaviors, aligning AI goals with human values, and developing fail-safe mechanisms.

Related Glossaries

  • Source data Source data refers to the original, unaltered information collected from primary sources before any processing or analysis. It serves as the foundation for data-driven decision-making in research, AI training, and analytics.
  • Functional data analysis Functional data analysis is a statistical approach that examines datasets represented as continuous functions, such as time-series or spatial data. It is commonly used in climate science, biomedical research, and AI applications for detecting patterns, forecasting trends, and improving decision-making…
  • Internet of Things The Internet of Things (IoT) connects physical devices, sensors, and software to exchange data over the internet. IoT is used in smart homes, healthcare, industrial automation, and connected vehicles, driving digital transformation and real-time decision-making.
  • Automation Automation is the use of technology to perform tasks with minimal human intervention. It ranges from simple rule-based automation to advanced AI-driven systems capable of learning and decision-making. Automation is widely applied in manufacturing, IT operations, business processes, and customer…
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CUBIG LTD (United Kingdom)
Company Number: NI735459
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