Risks of AI-driven product development and strategies for their mitigation

2025/05/28 by Jan Göpfert, Göpfert, Jan, Jann Michael Weinand +7 · 1 citation
Engineering · #Artificial Intelligence (cs.AI) #Computational Engineering #Computers and Society (cs.CY) #Digital Transformation in Industry #FOS: Computer and information sciences #Finance #Technology Assessment and Management #and Science (cs.CE)

paper · doi:10.48550/arxiv.2506.00047

openalex publication_date 2025/05/28 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28

Abstract

Humanity is progressing towards automated product development, a trend that promises faster creation of better products and thus the acceleration of technological progress. However, increasing reliance on non-human agents for this process introduces many risks. This perspective aims to initiate a discussion on these risks and appropriate mitigation strategies. To this end, we outline a set of principles for safer AI-driven product development which emphasize human oversight, accountability, and explainable design, among others. The risk assessment covers both technical risks which affect product quality and safety, and sociotechnical risks which affect society. While AI-driven product development is still in its early stages, this discussion will help balance its opportunities and risks without delaying essential progress in understanding, norm-setting, and regulation.

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