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Showing posts with the label digital humanities

The Bias Against the Machine: NIH Syndrome and the Rejection of AI-Generated Content

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Tradition Meets AI. AI art Introduction Should we dismiss an argument simply because it was written by artificial intelligence? This question lies at the intersection of technology, psychology, and epistemology. The growing presence of machine-produced texts, images, and solutions has ignited debate over their legitimacy. While some evaluate such outputs pragmatically, others reject them outright, insisting that only human thought can provide trustworthy insight. This resistance can be illuminated through the well-documented phenomenon known as Not Invented Here (NIH) syndrome . Originally studied in organizational contexts, NIH describes the tendency to reject ideas because they originate from an external or unfamiliar source. When applied to AI, it highlights a subtle but powerful prejudice: the refusal to recognize machine-generated knowledge as credible. This article explores the nature of NIH, its epistemological implications, and its relevance to the contemporary dismissal of A...

The Answer Is in the Question: Prompt Engineering in the Digital Age

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AI-generated image   “It’s the question that drives us, Neo. It’s the question that brought you here.” The Matrix Introduction Thinkers once transformed the world through their books, dialogues, and philosophical reflections. Today, many fear that artificial intelligence, by providing instant answers, will render human thought obsolete. This anxiety echoes an older concern voiced by Plato in Phaedrus , where he recounts a myth in which Theuth, the Egyptian god of invention, offers writing to King Thamus as a gift. Thamus, however, refuses, warning: “This invention will produce forgetfulness in the minds of those who learn to use it”¹. Writing, he argued, would replace memory with external dependence. Similarly, critics now warn that AI atrophies critical faculties by delivering information without effort. Yet such perspectives may misrecognize the true locus of reflection. Rather than displacing human cognition, AI reshapes the very space in which intellectual engagement unfold...

Barthes in the Age of AI: Intertextuality, Authorship, and the Plural Text

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Introduction: Reading Barthes Through the Machine When Roland Barthes announced the “death of the author,” he shifted the focus of literary interpretation from the creator to the reader. In today’s digital landscape—where intelligent programs compose poems, essays, and scripts—his insight acquires renewed significance. In a world shaped by generative software, the relevance of Barthes’ key concepts—intertextuality, authorship, the multiplicity of meaning—becomes increasingly apparent. This article explores how Barthes’ semiotic vision not only anticipates but helps us make sense of the textual conditions produced by artificial intelligence. Intertextuality and the Algorithmic Remix At the core of Barthes’ thought is the principle of intertextuality—the idea that every piece of writing is a mosaic of preexisting expressions. “The text is a tissue of quotations drawn from the innumerable centres of culture,” Barthes declares in Image, Music, Text (1977). For him, originality is an...