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Home / Glossary / AI trust paradox

What is AI trust paradox?

The AI trust paradox highlights the contradiction between the increasing capabilities of AI and the growing distrust from users. While AI can enhance efficiency and decision-making, concerns over bias, explainability, and control contribute to skepticism.

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  • Run Binding Run Binding refers to the process of linking a specific AI run to a defined data state or release state. This makes each execution explainable in terms of the exact condition under which it was performed.
  • Personal Data Privacy and Security Act of 2009 The Personal Data Privacy and Security Act of 2009 was a U.S. legislative proposal aimed at establishing stronger security standards for personal data protection. It sought to mandate breach notifications, data encryption, and accountability for organizations handling sensitive information.
  • Text Mining Text mining refers to the process of extracting valuable insights from textual data using NLP, machine learning, and analytics techniques. It is applied in research, business intelligence, and automated content classification.
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