Hauptseite > Publikationsdatenbank > Risks of AI-driven product development and strategies for their mitigation > print

001     1053972
005     20260203082503.0
024 7 _ |a 10.48550/ARXIV.2506.00047
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037 _ _ |a FZJ-2026-01648
100 1 _ |a Göpfert, Jan
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245 _ _ |a Risks of AI-driven product development and strategies for their mitigation
260 _ _ |c 2025
|b arXiv
336 7 _ |a Preprint
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336 7 _ |a WORKING_PAPER
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336 7 _ |a Electronic Article
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336 7 _ |a preprint
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336 7 _ |a ARTICLE
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336 7 _ |a Output Types/Working Paper
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520 _ _ |a 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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588 _ _ |a Dataset connected to DataCite
650 _ 7 |a Computers and Society (cs.CY)
|2 Other
650 _ 7 |a Artificial Intelligence (cs.AI)
|2 Other
650 _ 7 |a Computational Engineering, Finance, and Science (cs.CE)
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650 _ 7 |a FOS: Computer and information sciences
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700 1 _ |a Weinand, Jann M.
|0 P:(DE-Juel1)190787
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700 1 _ |a Kuckertz, Patrick
|0 P:(DE-Juel1)172651
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700 1 _ |a Pflugradt, Noah
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700 1 _ |a Linßen, Jochen
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773 _ _ |a 10.48550/ARXIV.2506.00047
910 1 _ |a Forschungszentrum Jülich
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913 1 _ |a DE-HGF
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980 _ _ |a UNRESTRICTED

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