Artificial Intelligence (AI) in Literature-Blessing or a Curse: An Analysis of Robopocalypse and Klara and the Sun
Bibliographic record
Abstract
Modern age is the age of science and technology. Technology has taken over every field of life. One among such technology is Artificial Intelligence (AI). From last few decades Artificial Intelligence is dominating human life. The application of AI in business, life and work has revolutionary power. During the past years, the complementary connection of human intelligence with the computational power of machines has been transforming lives. One could observe innovations in every field of life across the globe. In this context, literature has always played an important role. This paper is an attempt to analyse Artificial Intelligence (AI) through the lens of literature by analysing the novels such as Robopocalypse (2011), and Klara and the Sun (2021). The researcher analysed these novels and how they portray Artificial Intelligence. It has shown that how AI can be both a blessing and a curse on human civilization. It draws parallels between reel and real and has found the important role played by artificial intelligence in modern man’s life.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.004 | 0.009 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.009 | 0.011 |
| Science and technology studies | 0.007 | 0.013 |
| Scholarly communication | 0.009 | 0.011 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".