The expansion of design possibilities in architecture passes through an expansion of knowledge of reality. In this scenario, artificial intelligence, with its dual exploratory and generative nature, asserts itself as a tool capable of shaping new forms and nurturing new knowledge. But, as happens every time one enters unexplored territories, each step forward requires a firm consolidation of the newly conquered space. However invisible and intangible, the same process is occurring with AI. The creation of new scenarios imposes the need to redefine ethical frameworks, which are essential to guide future choices and establish criteria by which to measure the quality of new processes.

Although the functioning of machine learning algorithms may seem abstract and difficult to decipher, they rely on a series of structured processes that make them vulnerable to specific threats. Understanding the risks these tools are exposed to is essential for developing greater awareness in their use.