Èkphrasis and Post-Truth: Ethics and Creativity in the Era of Generative AI

Generative Artificial Intelligence (AI) is transforming design and architecture, offering new creative opportunities while also raising ethical and methodological questions. Based on deep neural networks and large datasets, it autonomously generates images, models, and texts, yet the unpredictability of its outputs and the inherent biases in the models pose challenges to creative control. As a result, the designer assumes a key role as a conscious curator, while èkphrasis facilitates human-machine dialogue. Moreover, generative AI is linked to the phenomenon of post-truth, where the manipulation of infor-mation can distort reality. It is therefore crucial to develop tools that ensure transparency and counter misinformation. Finally, the adoption of these models raises issues concerning intellectual property, sustainability, and cultural impacts, demanding critical reflection on ethics and diversity in creative processes