Opinion: Generative AI poses risks when used for research and development

Software engineer Ashish Pawar warns in VentureBeat about the dangers of over-relying on generative AI for research and development activities. While AI can enhance productivity, Pawar argues it lacks the human creativity and vision necessary for breakthrough innovations, potentially leading to homogenized products across industries.

The article outlines several key concerns, including AI’s limitation to historical data, its tendency to eliminate productive ambiguity, and the risk of de-skilling human talent. Pawar recommends using AI as a supplementary tool while keeping human researchers at the center of innovation processes, emphasizing that truly disruptive innovations require human empathy, intuition, and the ability to learn from unexpected discoveries.

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