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Home / Glossary / AI alignment

What is AI alignment?

AI alignment refers to the challenge of ensuring that AI systems act in accordance with human intentions and values. Research in AI alignment seeks to prevent AI from taking actions that could be harmful or misaligned with societal goals.

Related Glossaries

  • Unstructured Data Unstructured data refers to data that does not follow a predefined format, such as text, images, videos, and social media posts. It requires advanced processing techniques like NLP and deep learning for analysis.
  • Data-centric security Data-centric security is an approach that prioritizes protecting data itself rather than securing only networks or applications. It includes encryption, access control, and tokenization to safeguard sensitive information. This method ensures data remains secure during storage, transmission, and processing, making…
  • AI-Ready Data AI-Ready Data refers to data that is structured, validated, contextualized, and ready for immediate use in AI systems. It goes beyond stored or cleaned data by including the quality, lineage, access conditions, and business context required for reliable execution.
  • Privacy Impact Assessment A Privacy Impact Assessment (PIA) is a process used by organizations to evaluate potential privacy risks associated with data processing activities. It helps businesses comply with privacy laws, identify vulnerabilities, and implement safeguards to protect personal information.
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