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Responsible innovation ecosystems: Ethical implications of the application of the ecosystem concept to artificial intelligence

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  • STAHL, Bernd Carsten

Abstract

The concept of innovation ecosystems has become prominent due to its explanatory power. It offers a convincing account of innovation, explaining how and why innovation pathways change and evolve. It has been adopted to explain, predict, and steer innovation. The increasing importance of innovation for most aspects of human life calls for the inclusion of ethical and social rights aspects into the innovation ecosystems discourse. The current innovation ecosystems literature does not provide guidance on how the integration of ethical and social concerns into innovation ecosystems can be realised. One way to achieve this is to draw on the discussion of responsible research and innovation (RRI). This paper applies RRI to the innovation ecosystems discourse and proposes the concept of responsible innovation systems. It draws on the discussion of the ethics of artificial intelligence (AI) to explore how responsible AI innovation ecosystems can be shaped and realised.

Suggested Citation

  • STAHL, Bernd Carsten, 2022. "Responsible innovation ecosystems: Ethical implications of the application of the ecosystem concept to artificial intelligence," International Journal of Information Management, Elsevier, vol. 62(C).
    • Handle: RePEc:eee:ininma:v:62:y:2022:i:c:s0268401221001341
    DOI: 10.1016/j.ijinfomgt.2021.102441
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    Cited by:

    1. Akter, Shahriar & Dwivedi, Yogesh K. & Sajib, Shahriar & Biswas, Kumar & Bandara, Ruwan J. & Michael, Katina, 2022. "Algorithmic bias in machine learning-based marketing models," Journal of Business Research, Elsevier, vol. 144(C), pages 201-216.
    2. Nam, Jinyoung & Jung, Yoonhyuk & Kim, Junghwan, 2024. "Understandings of the AI business ecosystem in South Korea: AI startups’ perspective," Telecommunications Policy, Elsevier, vol. 48(6).
    3. Burström, Thommie & Lahti, Tom & Parida, Vinit & Wartiovaara, Markus & Wincent, Joakim, 2023. "A definition, review, and extension of global ecosystems theory: Trends, architecture and orchestration of global VCs and mechanisms behind unicorns," Journal of Business Research, Elsevier, vol. 157(C).
    4. Huang, Lei & Ladikas, Miltos & Schippl, Jens & He, Guangxi & Hahn, Julia, 2023. "Knowledge mapping of an artificial intelligence application scenario: A bibliometric analysis of the basic research of data-driven autonomous vehicles," Technology in Society, Elsevier, vol. 75(C).
    5. Nam, Jinyoung & Kim, Junghwan & Jung, Yoonhyuk, 2023. "Understandings of the AI business ecosystem in South Korea: AI startups' perspective," 32nd European Regional ITS Conference, Madrid 2023: Realising the digital decade in the European Union – Easier said than done? 278005, International Telecommunications Society (ITS).
    6. Mohammad I. Merhi, 2023. "An Assessment of the Barriers Impacting Responsible Artificial Intelligence," Information Systems Frontiers, Springer, vol. 25(3), pages 1147-1160, June.
    7. Broekhuizen, Thijs & Dekker, Henri & de Faria, Pedro & Firk, Sebastian & Nguyen, Dinh Khoi & Sofka, Wolfgang, 2023. "AI for managing open innovation: Opportunities, challenges, and a research agenda," Journal of Business Research, Elsevier, vol. 167(C).
    8. Nylund, Petra A. & Amores-Bravo, Xavier & Ferràs-Hernández, Xavier & Brem, Alexander, 2023. "Crisis as a catalyst of idle innovation ecosystems: Evidence from ecosystem exaptation of a water partnership," Technological Forecasting and Social Change, Elsevier, vol. 197(C).
    9. Athanasios Polyportis & Nikolaos Pahos, 2024. "Navigating the perils of artificial intelligence: a focused review on ChatGPT and responsible research and innovation," Palgrave Communications, Palgrave Macmillan, vol. 11(1), pages 1-10, December.

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