Transparency
Posted: Thu Feb 12, 2026 10:47 am
Transparency
Transparency in AI refers to the openness and accessibility of the AI system's operations, design, and decision-making processes. It encompasses the availability of information about how AI systems are developed, trained, and deployed, including the data used, the algorithms applied, and the criteria for decision-making. Transparency is about making the inner workings of AI systems accessible, allowing for a better understanding of how decisions are made. It is a broader concept that can include aspects such as:
Openness about the data and algorithms used.
Documentation of the development process and methodologies.
Accessibility of information about the system's performance and limitations.
Transparency in AI refers to the openness and accessibility of the AI system's operations, design, and decision-making processes. It encompasses the availability of information about how AI systems are developed, trained, and deployed, including the data used, the algorithms applied, and the criteria for decision-making. Transparency is about making the inner workings of AI systems accessible, allowing for a better understanding of how decisions are made. It is a broader concept that can include aspects such as:
Openness about the data and algorithms used.
Documentation of the development process and methodologies.
Accessibility of information about the system's performance and limitations.