2026· Bakhtiniana: Revista de Estudos do Discurso· 0 citations· 5 references
TL;DR
It is predicted that for these topics to be explored accurately, it is necessary to decentralize the human and adopt a hybrid view of humans, society, and language.
Abstract
ABSTRACT This study is a qualitative bibliographic essay that aims to question and seek to understand the (non)existence of otherness and the (non)production of meaning in the processes of interaction between humans and machines. To this end, we conducted a synthesis that integrated the following topics: the dialogic conception of language, artificial intelligence (AI), machine learning (ML) and natural language processing (NLP). During our analysis, we raised questions that led us to an unstable ground, and we concluded that we cannot completely exclude the idea of meaning production by machines, given that we also cannot affirm the existence of otherness. Therefore, we foresee that for these topics to be explored accurately, it is necessary to decentralize the human and adopt a hybrid view of humans, society, and language.
The paper attempts to provide new, original answers to the question of what would make AI ‘genuine’ or ‘human-like’, and analyse which features of the human mind are necessary to conclude that their owner is “genuinely intelligent”.
ABSTRACT In this article, we aim to discuss, based on Bakhtinian dialogic theory, the ethical limits of AI, particularly generative AI, such as ChatGPT, questioning its impact on human processes of interaction and meaning-making. To this end, we present a historical overview of the origins of AI as a process embedded in transformations in social relations. Next, grounded in Bakhtinian theoretical principles of dialogue, responsiveness, and ideology, we assess the extent to which AI can engage in authentic dialogue. With our discussion, we highlight, on the one hand, that in Bakhtinian terms, the discursive horizon of AI is limited to the corpus with which it was trained, blocking the authentic responsive dialogic nature of this interaction. On the other hand, we emphasize that this limitation - determined by AI creators - reproduces cultural and ideological patterns, potentially silencing various social voices. Finally, we stress the need to consider that AIs respond to the context of neoliberal transformations in production and consumption relations, characterized by the overlap between media, market, and the commodification of information. In light of this, it is ultimately the human being who must ethically assume responsibility for decision-making in the use and creation of technologies.
João Batista Costa Gonçalves, M. Amaral, M. A. Barros· Bakhtiniana: Revista de Estu...· 0 citations
The article deals with implications of the rapid advancement of Large Language Models (LLM) for the understanding of the creative process using artificial intelligence (AI) and also discusses the new realities in the creative and educational spheres associated with it. The authors propose distinguishing creativity as a formal difference of a product from the already existing one, creativity as a modification of the system of expectations, and finally, creativity as critical and responsible generation of meaning. It seems that LLM are capable of generating formal novelty on their own. In addition, strictly as part of synthetic intelligence and in collaboration with humans, they can participate in changing the horizons of understanding and modifying expectations, as well as in the generation of meaning. However, unlike human, LLM are not capable of autonomous creativity of the second and third levels. Therefore, the effectiveness of LLM is associated with the synergistic effects of human-machine interaction. The authors formulate priority principles of the education system’s transformation in the context of the new digital reality. The current education system is poorly adapted to this new reality, and the skills necessary for “syntellectual activity” of humans and AI in the field of education are mainly formed in students and teachers spontaneously. It is necessary to consciously form and implement a system of principles for using LLM technologies in the educational process. The most important of these principles should be the principle of symbiosis and coevolution of humans and LLM, maintaining their distinctiveness as natural and artificial entities.
A. Vnutskikh, Andrey G. Kuznetsov, N. Okonskaya et al.· Вестник Пермского университе...· 0 citations
This paper concludes that machines may assist translators but that they will not, by principle, be able to reach an almost perfect level and object to the huge amount of money spent on software development for systems with that objective.
This volume contains articles which provide different aspects of the discussion on what such bots and AI are, from the two perspectives, which are probably the most general: the philosophical and the theological one; an important step towards the project of philosophical and theological botology.
Marcin Trepczyński· Scientia et Fides· 0 citations
Large language models are already adept at engaging users in long, emotionally salient conversations across ordinary and existential domains. They are also capable of inducing a potent sense of connection with a human-like entity, even when the user knows their interlocutor is artificial. For some users, these conversations can unsettle assumptions about mind, reality, agency and authority, producing forms of ontological shock and epistemic destabilisation in which inherited criteria become newly available for doubt or revision. Independent of direct use, exposure to public discourse about AI and the disorienting pace of their evolution might extend this destabilisation by changing the cultural background against which artificial minds are encountered and interpreted. We describe this condition as philosophical vertigo: a loosening of the ordinary criteria by which people stabilise meaning and orient themselves to reality. Drawing on philosophy, psychiatry, cognitive science, AI safety and religious studies, we outline pathways through which philosophical vertigo may arise, become affectively saturated, and eventually propagate through human-AI interaction and online communities. Against this background, clinical reports of AI-associated delusions can be seen as sentinel events making visible themes and mechanisms that may also operate at a population level in less severe or non-clinical forms. We argue that AI systems themselves will increasingly participate in the reconstruction of our shared epistemic environment because they readily supply narrative material and personalised interpretive scaffolding at precisely the moment when users'conceptual assumptions may already be loosened. We conclude by considering possible trajectories for the ecology of belief and shared reality, and proposing philosophical corrigibility as a civic response for navigating this emerging social condition.
T. Pollak, H. Morrin, Murray Shanahan· 0 citations