From Lines of Code to the Language of Clicks: Are We Being Programmed?

Authors

  • Jyotsna T. Wassan Department of Computer Science, Maitreyi College, University of Delhi, Delhi, India Author
  • Shikha Badhani Department of Computer Science, Maitreyi College, University of Delhi, Delhi, India Author

Keywords:

Artificial Intelligence, large language models, Ai-driven World, AI in Education

Abstract

Artificial Intelligence has become a part of our everyday lives, helping us work faster, learn more efficiently, and solve problems with ease. However, increasing reliance on AI-generated assistance may influence creativity, judgment, and independent thinking. This editorial reflects on the evolving relationship between humans and intelligent systems, highlighting the importance of preserving curiosity, critical thinking, and originality while embracing the benefits of AI-driven technologies.

Downloads

Download data is not yet available.

References

Bender, E. M., Gebru, T., McMillan-Major, A., & Mitchell, M. (2021). On the dangers of stochastic parrots: Can language models be too big? Proceedings of the 2021 ACM Conference on Fairness, Accountability, and Transparency, 610–623.

https://doi.org/10.1145/3442188.3445922

Carr, N. (2010). The shallows: What the Internet is doing to our brains. New York, NY: W. W. Norton & Company. Retrieved from https://wwnorton.com/books/9780393357820

Emergent Mind. (2025, December 12). Low-code/no-code platforms overview. Retrieved from https://www.emergentmind.com/topics/low-code-no-code-platforms

Husain, A. (2025, October 21). Programming in the age of AI: Why code still matters. Forbes. Retrieved from https://www.forbes.com/sites/amirhusain/2025/10/21/programming-in-the-age-of-ai-why-code-still-matters/

Li, K., Yu, Y., Zhang, H., & others. (2023). Emergent world representations: Exploring a sequence model trained on a synthetic task. Retrieved from https://openreview.net/forum?id=DeG07_TcZvT

Mitchell, M. (2019). Artificial intelligence: A guide for thinking humans. New York, NY: Farrar, Straus and Giroux.

O’Neil, C. (2016). Weapons of math destruction: How big data increases inequality and threatens democracy. New York, NY: Crown.

Risko, E. F., & Gilbert, S. J. (2016). Cognitive offloading. Trends in Cognitive Sciences, 20(9), 676–688.

https://doi.org/10.1016/j.tics.2016.07.002

UNESCO. (2023). Guidance for generative AI in education and research. Paris: UNESCO. https://doi.org/10.54675/EWZM9535

Downloads

Published

05-05-2026

How to Cite

From Lines of Code to the Language of Clicks: Are We Being Programmed? (2026). Vantage: Journal of Thematic Analysis, 7(01), 88-91. https://vantagejournal.com/index.php/vjta/article/view/190

Similar Articles

1-10 of 71

You may also start an advanced similarity search for this article.