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2025 | OriginalPaper | Chapter

Evaluating the Effectiveness of Generative AI in TRIZ: A Comparative Case Study

Authors : Nikhil Phadnis, Marko Torkkeli

Published in: World Conference of AI-Powered Innovation and Inventive Design

Publisher: Springer Nature Switzerland

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Abstract

The chapter delves into the evolution of the TRIZ methodology and the increasing role of artificial intelligence in innovation management. It presents a comparative case study where generative AI, specifically ChatGPT, is used to solve a real-world problem in the healthcare industry. The study compares the solutions generated by AI with those from traditional TRIZ methods, assessing their similarity, depth, and breadth. The results indicate that while AI cannot replace human creativity entirely, it can significantly accelerate the idea generation process and provide valuable preliminary conceptual directions. The chapter discusses the advantages and disadvantages of using AI in TRIZ, concluding that a hybrid approach combining AI and human expertise is most effective. The study also highlights the potential of AI in technology forecasting, patent circumvention, and innovation portfolio analysis.

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previous chapter Use of AI in the TRIZ Innovation Process: A TESE-Based Forecast

next chapter On Opportunities and Challenges of Large Language Models and GPT for Problem Solving and TRIZ Education

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Title: Evaluating the Effectiveness of Generative AI in TRIZ: A Comparative Case Study
Authors: Nikhil Phadnis
Marko Torkkeli
Publisher: Springer Nature Switzerland
Book: World Conference of AI-Powered Innovation and Inventive Design
Print ISBN: 978-3-031-75918-5

Electronic ISBN: 978-3-031-75919-2

Copyright Year: 2025
DOI: https://doi.org/10.1007/978-3-031-75919-2_11

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