Maintaining Human Empathy in Automated Public Services

The article discusses how digitization and artificial intelligence have transformed public administration, delivering faster, more accessible services around the clock and reducing opportunities for corruption and human error. However, it argues that automated systems can overlook crucial human nuances such as vulnerability, context, and social diversity. A case is highlighted where a student’s scholarship application was initially rejected by an automated system but later rectified by a public worker, illustrating that technology alone cannot fully address human needs. The piece outlines the importance of empathy in public decisions to prevent exclusion of vulnerable groups and ensure consideration of individual circumstances. It also outlines risks of automation without empathy, including the replication of historical biases and the erosion of trust if there is no meaningful human review or appeal process. To preserve empathy, the article recommends user-centered design with empathy checkpoints, accessible feedback channels, ethical and cultural training for public staff, and transparency with right of appeal. International examples show automated platforms with manual review for exceptional cases, inclusive design in local governments, and digital ethics training for civil servants. The conclusion emphasizes that humanizing digital government requires embedding empathy as a quality parameter, ensuring technology serves inclusion, justice, and closeness to citizens, thereby strengthening public trust.