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- AI systems challenge established concepts of creativity and meaning. While these machines can produce novel and valid results, they lack the intention or expression necessary for these creations to be truly innovative. Furthermore, although AI-generated texts resemble human communication, they lack communicative intent or a commitment to truth. Implications for Origin and Artistic Value
Research in artificial intelligence has accelerated remarkably in recent years, leading to the emergence of powerful systems integrated into our daily lives. These systems, whether chatbots, text generators, or image models, produce content that strikingly resembles human-created content. This evolution prompts profound reflection on how we coexist with these machines. It is essential to redefine crucial concepts such as consciousness, creativity, meaning, and personality. The challenge is to develop a normative framework that preserves epistemic integrity and prevents the unjustified transfer of responsibility to these non-human entities, while grounding our interaction with AI in socially and democratically sustainable principles. As artificial intelligence (AI) continues to advance, it confronts us with machines capable of generating content that, at first glance, appears to be human-created. This technological advancement raises numerous questions and challenges about how we can coexist with these systems. In this article, we will examine how certain fundamental concepts such as consciousness, creativity, and responsibility are being redefined, the importance of rigorous regulation of AI use to avoid conceptual confusion, and recommendations for establishing a social and democratic interaction with these technologies. Understanding Human-AI Interaction AI systems, particularly generative systems such as chatbots or image creation tools, are increasingly present in our daily lives. These technologies often convincingly replicate human capabilities, including fluent language and contextual responses.However, our shared understanding of these systems clashes with our traditional notions of the human mind, leading to confusion about the nature of these interactions. Anthropomorphizing AI SystemsUsers tend to attribute human characteristics to these machines, sometimes even perceiving them as conscious. This is due to superficial cues and sophisticated interactional design, rather than genuine machine experience or awareness. This anthropomorphization can seriously impact users’ trust and social expectations of AI systems.
Rethinking Creativity and Meaning
This situation challenges traditional criteria of authorship, originality, and artistic value, destabilizing the creative norms that have long guided human works. It also underscores the need to protect epistemic environments from pollution by AI-generated « quasi-texts. » Machine Personality and Responsibility How we perceive the personality of AI systems strongly influences the distribution of responsibility. By treating these machines as persons, responsibility could be transferred from designers or institutions to the machines themselves, which cannot be held morally accountable. The Ambiguity Surrounding Agency and ResponsibilityThe main risks are that of causing epistemic and normative drift, leading to errors in judgment regarding the reliability of AI systems, incorrect attribution of responsibility, and an erosion of practices that support human agency. This underscores the importance of maintaining conceptual clarity and ensuring that responsibility remains firmly embedded in human actors.
Recommendations for Balanced Interaction To address these challenges, it is essential that design decisions for these systems consider social and normative impact from the outset. Conceptual engineering must be integrated from the earliest stages of AI development and governance to ensure that users and designers have the necessary tools to accurately navigate the societal impact of AI. Policy Priorities for Integrating AI into Society Recommendations include promoting conceptual hygiene in public discourse, integrating conceptual engineering into policy design, safeguarding against misleading anthropomorphism, and supporting a shared and evolving conceptual infrastructure. These guidelines aim to align with emerging legal frameworks while reinforcing the need for sustained conceptual clarity.
AI systems challenge established concepts of creativity and meaning. While these machines can produce novel and valid results, they lack the intention or expression necessary for these creations to be truly innovative. Furthermore, although AI-generated texts resemble human communication, they lack communicative intent or a commitment to truth. Implications for Origin and Artistic Value
