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Paper ID:IJSREM64180

Ai - A Helpful Tool or A Human Puppet

Stream/Area:

-

Subject:

-

Paper ID:

IJSREM64180

Volume:

10 |

5 |

May 2026

Pages:

1-10

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
10.55041/IJSREM64180

License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

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Authors

VT

Vishakha Thakkar

Applied Arts

Shri Ram College

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Mentors

MRT

Ms. Reena Tyagi

Applied Arts

Shri Ram College

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Abstract

Artificial Intelligence — or AI — is everywhere today. It writes stories, makes images, composes music, and helps designers create stunning visuals in seconds. But this raises a big question: Is AI working for us, or are we starting to work for it? This research paper looks at AI in simple, everyday language. It explores how AI helps creative people — especially in Applied Arts — do amazing things faster and easier than ever before. At the same time, it asks whether we are slowly losing something important: our own original thinking, our unique artistic voice, and our independence as creators. With the widespread adoption of intelligent systems in scenarios such as online shopping, users’ ability to operate these tools has become essential for managing complex and personalized tasks. In fact, algorithm adoption is a dynamic and proactive psychological process in which users analyze the procedural value and performance of algorithms through information processing. The paper ends with practical advice on how artists and designers can use AI wisely, without losing themselves in the process.

KEYWORDS

Artificial Intelligence Creativity Applied Arts Human Agency AI Tools Ethics Design Digital A

Cite This Article

Vishakha Thakkar, Ms. Reena Tyagi, "Ai - A Helpful Tool or A Human Puppet," International Journal of Scientific Research in Engineering and Management, vol. 10, no. 5, pp. 1-10, May 2026. https://doi.org/10.55041/IJSREM64180

Full Article/Conclusion

We started this paper with a simple question: Is AI a helpful tool or a human puppet master? After exploring the evidence from many angles, the honest answer is: it can be both — and which one it becomes depends largely on us. AI is genuinely helpful when it is used by skilled, aware, and critically thinking creators who maintain their own creative vision and use AI to extend and explore it. In these conditions, AI can open new creative horizons, speed up tedious work, democratise access to professional tools, and enable kinds of art and design that were simply impossible before. But AI becomes problematic — even a puppet master — when it is used without critical thinking, when it replaces rather than supports the development of genuine creative skill, when its biases and defaults go unquestioned, and when its commercial and ideological underpinnings are ignored. In these conditions, AI quietly shapes what we make, what we think is beautiful, and even who we think we are as creative people — without us ever noticing. As MFA students of Applied Arts, we are in a uniquely important position. We are being trained not just to make things, but to think deeply about what making means — culturally, ethically, aesthetically. That training is exactly what is needed to navigate the AI moment wisely. The most important skill for the AI era is not knowing how to use the tools. It is knowing why you are using them, what they are doing, and what it means. AI is here to stay. The question is not whether we will live with it, but how. This paper hopes to have offered some useful thinking for anyone — student, designer, artist, or curious human — who wants to live and create with AI thoughtfully, honestly, and with their own unique voice fully intact.

References

Anadol, R. (2023). Unsupervised [Installation]. Museum of Modern Art, New York. Barad, K. (2007). Meeting the Universe Halfway: Quantum Physics and the Entanglement of Matter and Meaning. Duke University Press. Boden, M. A. (2004). The Creative Mind: Myths and Mechanisms (2nd ed.). Routledge. Brown, T., et al. (2020). Language Models are Few-Shot Learners. Advances in Neural Information Processing Systems, 33, 1877–1901. Chayka, K. (2023, August 2). Has AI Made Us All Aesthetically Average? The New Yorker. Clark, A., & Chalmers, D. J. (1998). The Extended Mind. Analysis, 58(1), 7–19. Crawford, K. (2021). Atlas of AI: Power, Politics, and the Planetary Costs of Artificial Intelligence. Yale University Press. Csikszentmihalyi, M. (1990). Flow: The Psychology of Optimal Experience. Harper & Row. Eldagsen, B. (2023). PSEUDOMNESIA: The Electrician [Photograph — AI generated]. Sony World Photography Awards. Fricker, M. (2007). Epistemic Injustice: Power and the Ethics of Knowing. Oxford University Press. Galanter, P. (2016). Generative Art Theory. In C. Paul (Ed.), A Companion to Digital Art (pp. 146–180). Wiley Blackwell. Getty Images v. Stability AI. (2023). Case No. 23-135 (D. Del. 2023). Goodfellow, I., et al. (2014). Generative Adversarial Nets. Advances in Neural Information Processing Systems, 27. Haraway, D. (1985). A Cyborg Manifesto. Socialist Review, 80, 65–108.

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Publication Date

5/28/2026

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Review Rounds: 2

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