As AI becomes increasingly common in healthcare, finance, public administration, and other sectors, the impact on society grows rapidly. While AI’s adoption and deployment promise innovation and improved outcomes, it raises ethical concerns about fairness, transparency, and accountability. Issues such as algorithmic bias, lack of interpretability, and cross-border regulatory challenges highlight the urgent need to redefine accountability.
“Achieving accountability in AI requires a multifaceted approach to stakeholder engagement, moving beyond consultation toward active participation and shared responsibility.”
