Description: The ‘Questioning Assumptions’ in the context of artificial intelligence (AI) ethics refers to the practice of critically examining the beliefs and assumptions underlying AI systems and their applications. This approach is fundamental to identifying and mitigating biases, injustices, and unintended consequences that may arise from the implementation of AI technologies. By questioning these assumptions, the aim is to understand how the values, beliefs, and perspectives of AI designers and developers can influence the functioning and outcomes of these systems. This process involves deep reflection on the decisions made during the design and development of AI, as well as the ethical implications of its use in society. The relevance of this questioning lies in its ability to foster a fairer and more responsible AI, ensuring that technologies do not perpetuate existing inequalities or introduce new forms of discrimination. In a world where AI is increasingly integrated into everyday life, questioning assumptions becomes an essential tool for promoting transparency, accountability, and equity in the development and implementation of these technologies.
