Trustworthiness of AI Systems

Trustworthiness in AI systems means ensuring that these technologies consistently act reliably, ethically, and transparently. It involves designing AI that makes fair decisions, respects privacy, and can be trusted to perform as intended without causing harm. Building trust requires clear explanations of how AI reaches conclusions, safeguarding against biases, and maintaining accountability. When AI is trustworthy, users can rely on it for accurate information and fair treatment, which encourages confidence in its deployment across various applications like healthcare, finance, and safety.