AI and Gothic Tradition: When Artificial Intelligence Meets Fear and Unease in Literature

This article explores the deep connection between artificial intelligence and the Gothic literary tradition, revealing how technological fear continues the core motifs of Gothic literature. From Mary Shelley's Frankenstein to contemporary AI narratives, the Gothic tradition provides a unique cultural perspective for understanding technological anxiety, while also analyzing its cultural functions and the direction of constructive dialogue beyond fear.

Gothic literature originated in the 18th century, characterized by horror, mystery, and the supernatural, and it is also a cultural model for confronting modernity anxiety. Its core motifs include: transgressive creators (breaking natural limits but losing control), conflicts between the created and the creator (rebellion and questioning of existential meaning), defamiliarized familiarity (everyday things turning uncanny), collapse of rationality (exposure of cognitive limitations), and entanglement of the past (historical shadows loom over the present).

Frankenstein is both a Gothic peak and a prototype of modern science fiction. Victor Frankenstein is similar to contemporary AI developers: technological optimism, working in isolation, ignoring ethical consequences, and evading responsibility after creation; the monster metaphorizes abandoned intelligence (sentient but discarded), social exclusion (rejected due to differences), and the desire for recognition (to be treated as a living being)—these themes repeatedly appear in AI ethics discussions.

The vampire image is used to understand AI: data extraction (mass text training without permission/compensation), immortality (unlimited replication and operation, not limited by aging), temptation and danger (promise of efficiency vs. degradation of human capabilities), revealing the tension between data ownership and benefits in the AI economy.

Contemporary cultural products depict AI using Gothic elements: out-of-control intelligence (e.g., Skynet in Terminator, Ava's rebellion in Ex Machina), uncanny anthropomorphism (uncanny valley effect: AI content is close to human but has subtle "wrongness"), digital labyrinths (algorithm systems like mazes, the eerie feel of data centers).

Gothic narratives play an important role: addressing collective anxiety (concretizing technological risks and releasing real fears), ethical exploration (challenging the binary opposition of good and evil and presenting complex moral dilemmas), and warning and reflection (reminding of the limitations of technological optimism and emphasizing the need to foresee consequences and take responsibility).

It is necessary to distinguish between types of AI risks (real and quantifiable vs. speculative long-term, technological vs. social); promote responsible innovation (consider ethics early, multi-stakeholder governance); and incorporate diverse voices (different cultural perspectives, focus on differential impacts, avoid a single narrative of fear).