The field of artificial intelligence and language is undergoing a significant shift in perspective, with a growing emphasis on the social, cultural, and contextual aspects of language and intelligence. Researchers are moving away from traditional notions of AI as a cognitive system and instead exploring the role of AI as a participant in cultural processes, a generator of texts, and a facilitator of dialogue and interpretation. This new perspective recognizes the importance of context, meaning-making, and interpretation in shaping our understanding of language and intelligence. The field is also seeing a growing interest in the development of new frameworks and approaches for evaluating and designing AI systems that are sensitive to human norms, values, and practices. Noteworthy papers in this area include: Not Minds, but Signs: Reframing LLMs through Semiotics, which argues for a semiotic perspective on large language models. Toward a Cultural Co-Genesis of AI Ethics, which proposes a new framework for AI ethics that emphasizes the importance of cultural co-production and mutual recognition.