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International Journal of Research in Engineering
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Vol. 7, Special Issue 2 (2025)

Balancing innovation and risk: Navigating the challenges of generative AI

Author(s):

Sucheta Mor

Abstract:

Generative AI refers to a class of artificial intelligence models that can create new content such as text, images, music and more based on the data they have been trained on. This differs from traditional predictive ML that used to have narrow outcomes example spam classification. Though the generative AI can completely transform industries, improve productivity, creativity and enhance overall business operations, there should be rigorous research to evaluate Gen AI’s effect on human cognition, metacognition and creativity. Education community must ensure that Gen AI must become powerful tool for enhancing knowledge and innovation rather than weakening our intellectual abilities and impacting academic integrity. The launch of open AI ChatGPT language generation model has raised alarms in academic sector also as the business world integrate large language models and artificial intelligence into workflows serious ethical concerns demand immediate action. Advancements in unchecked AI bring risk like bias in decision making, the spread of misinformation and growing copyright disputes.

In this author examines the use of Gen AI as a tool for human learning addressing its implications on human abilities.

Pages: 163-166  |  100 Views  18 Downloads

How to cite this article:
Sucheta Mor. Balancing innovation and risk: Navigating the challenges of generative AI. Int. J. Res. Eng. 2025;7(2):163-166. DOI: 10.33545/26648776.2025.v7.i2c.105
International Journal of Research in Engineering

International Journal of Research in Engineering

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