Description: Human Engagement in the context of explainable AI refers to the active participation of users in the design, development, and evaluation of artificial intelligence systems. This concept emphasizes the importance of involving end-users in the creation of technologies that impact their lives, ensuring that these tools are understandable, accessible, and aligned with their needs and values. Human engagement seeks to foster transparency in algorithms and AI models, allowing users to understand how decisions are made and what data is used. This not only enhances trust in technology but also helps identify potential biases and errors in systems. By integrating the human perspective into AI development, a more ethical and responsible approach is promoted, where automated decisions are fairer and more equitable. In summary, human engagement is essential to ensure that artificial intelligence is not only effective but also socially responsible and aligned with societal interests.
