👉 Transparency engineering is a set of practices and principles aimed at making the inner workings, decision-making processes, and data usage of complex systems, particularly in AI and machine learning, more understandable and accountable to users and stakeholders. It involves designing systems that clearly communicate their logic, data sources, and potential biases, enabling users to comprehend how decisions are made. This approach fosters trust by ensuring that the system's operations can be audited and scrutinized, allowing for identification and mitigation of errors or unfair practices. Transparency engineering also promotes ethical AI by encouraging developers to consider the societal impacts of their systems and to implement measures that safeguard privacy, fairness, and accountability.
