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Building the missing layer for enterprise AI. CUBIG is building the operational data layer that helps enterprises turn sensitive, fragmented, and unusable data into AI-ready, operable data.

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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.

← Previous AI Reliability Gap Next → AI software

Related Glossaries

  • Feature Engineering Feature engineering is the process of selecting, transforming, and creating relevant data features to improve machine learning model performance. It involves techniques like normalization, encoding, and dimensionality reduction, essential for building accurate AI models.
  • Execution Instability Execution Instability refers to the condition in which AI results become unstable in production because of changes in data structure, pipeline logic, permissions, or runtime conditions. The core issue is not the model alone, but the lack of a fixed…
  • SDK SDK refers to a Software Development Kit, a collection of tools, libraries, and documentation that developers use to build applications for specific platforms, operating systems, or frameworks.
  • 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
21 Arthur Street, Belfast, Antrim, United Kingdom, BT1 4GA

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E-Commerce Registration: 2023-Seoul-Seocho-2822
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