Deep Else: A Critical Framework for AI Art

From a small community of pioneering artists who experimented with artificial intelligence (AI) in the 1970s, AI art has expanded, gained visibility, and attained socio-cultural relevance since second half 2010s. Its topics, methodologies, presentational formats, implications are closely related to range disciplines engaged research application AI. In this paper, I present comprehensive framework for critical exploration art. It comprises context art, its prominent poetic features, major issues, possible directions. address poetic, expressive, ethical layers practices within contemporary research, disciplines. focus on works that exemplify complexity manifest epistemic or political ambiguities indicative broader milieu culture, science/technology, economy, society. By comparing, acknowledging, contextualizing both their accomplishments shortcomings, outline prospective strategies advance field. The aim is expand existing discourse new perspectives which can be used examine creative attributes emerging assess cultural significance socio-political impact. contributes rethinking redefining art/science/technology critique age when arts, together science technology, becoming increasingly responsible changing ecologies, shaping values, normalization.