ai principle

The 7 Core AI Principles

The AIGE guidelines rest on seven key principles adapted from global UNESCO and OECD frameworks: [1, 2]

  • Fairness: Systems must be designed to avoid bias or discrimination.
  • Reliability, Safety, and Control: Systems must operate securely, handle unexpected conditions, and respect human intervention.
  • Privacy and Data Security: Strict adherence to data protection (such as the [PDPA](0.5.11, 0.5.27)) to protect user data from misuse.
  • Inclusiveness: Fostering equal access and participation across all layers of society.
  • Transparency: Algorithms and data sources must be documented with clear explanations for AI-driven decision-making.
  • Accountability: Developers, owners, and operators are legally and ethically accountable for system outcomes.
  • Pursuit of Human Benefit: AI technologies must respect human rights, improve quality of life, and promote happiness.

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