Trustworthy Artificial Intelligence

AI Trustworthiness - AI Trustworthiness refers to the degree of confidence that users and stakeholders can have in an AI system's ability to perform its intended functions reliably, safely, and ethically. It encompasses various attributes such as fairness, transparency, accountability, and robustness, ensuring that AI systems operate in a manner aligned with societal values and ethical standards.

Class Information

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Identification

IRI: https://folio.openlegalstandard.org/RCafxux1zDpXGZzqVBKNVpa
Label (rdfs): AI Trustworthiness
Preferred Label: Trustworthy Artificial Intelligence
Alternative Labels: Trustworthy Machine Intelligence
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Definition and Examples

Definition: AI Trustworthiness refers to the degree of confidence that users and stakeholders can have in an AI system's ability to perform its intended functions reliably, safely, and ethically. It encompasses various attributes such as fairness, transparency, accountability, and robustness, ensuring that AI systems operate in a manner aligned with societal values and ethical standards.
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Class Relationships

Sub Class Of: Artificial Intelligence System Taxonomy
Parent Class Of: Deep Fake

Evasion Attack

AI Bias

Confabulation

Data Leakage

Opacity

Trustworthy AI

AI Discrimination
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Additional Information

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Deprecated: False

Metadata

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