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Towards a deliberative framework for responsible innovation in artificial intelligence

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  • Buhmann, Alexander
  • Fieseler, Christian

Abstract

The rapid innovation in artificial intelligence (AI) is raising concerns regarding human autonomy, agency, fairness, and justice. While responsible stewardship of innovation calls for public engagement, inclusiveness, and informed discourse, AI seemingly challenges such informed discourse by way of its opacity (poor transparency, explainability, and accountability). We apply a deliberative approach to propose a framework for responsible innovation in AI. This framework foregrounds discourse principles geared to help offset these opacity challenges. To support better public governance, we consider the mutual roles and dependencies of organizations that develop and apply AI, as well as civil society actors, and investigative media in exploring pathways for responsible AI innovation.

Suggested Citation

  • Buhmann, Alexander & Fieseler, Christian, 2021. "Towards a deliberative framework for responsible innovation in artificial intelligence," Technology in Society, Elsevier, vol. 64(C).
    • Handle: RePEc:eee:teinso:v:64:y:2021:i:c:s0160791x20312781
    DOI: 10.1016/j.techsoc.2020.101475
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    4. König, Pascal D. & Wenzelburger, Georg, 2021. "The legitimacy gap of algorithmic decision-making in the public sector: Why it arises and how to address it," Technology in Society, Elsevier, vol. 67(C).
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    6. Aitken, Mhairi & Ng, Magdalene & Horsfall, Dave & Coopamootoo, Kovila P.L. & van Moorsel, Aad & Elliott, Karen, 2021. "In pursuit of socially-minded data-intensive innovation in banking: A focus group study of public expectations of digital innovation in banking," Technology in Society, Elsevier, vol. 66(C).
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    8. Chen, Lifeng & Khurram, Muhammad Usman & Gao, Yuying & Abedin, Mohammad Zoynul & Lucey, Brian, 2023. "ESG disclosure and technological innovation capabilities of the Chinese listed companies," Research in International Business and Finance, Elsevier, vol. 65(C).
    9. Kumar, Shashank & Raut, Rakesh D. & Queiroz, Maciel M. & Narkhede, Balkrishna E., 2021. "Mapping the barriers of AI implementations in the public distribution system: The Indian experience," Technology in Society, Elsevier, vol. 67(C).
    10. Hamid Akin Unver, 2022. "Using Social Media to Monitor Conflict-Related Migration: A Review of Implications for A.I. Forecasting," Social Sciences, MDPI, vol. 11(9), pages 1-14, September.
    11. Salih Tutun & Marina E. Johnson & Abdulaziz Ahmed & Abdullah Albizri & Sedat Irgil & Ilker Yesilkaya & Esma Nur Ucar & Tanalp Sengun & Antoine Harfouche, 2023. "An AI-based Decision Support System for Predicting Mental Health Disorders," Information Systems Frontiers, Springer, vol. 25(3), pages 1261-1276, June.
    12. Behera, Rajat Kumar & Bala, Pradip Kumar & Rana, Nripendra P. & Irani, Zahir, 2023. "Responsible natural language processing: A principlist framework for social benefits," Technological Forecasting and Social Change, Elsevier, vol. 188(C).
    13. Hu, Mengyu & Wang, Jingyi, 2021. "Artificial intelligence in dance education: Dance for students with special educational needs," Technology in Society, Elsevier, vol. 67(C).
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    15. Ali, Omar & Murray, Peter A. & Momin, Mujtaba & Al-Anzi, Fawaz S., 2023. "The knowledge and innovation challenges of ChatGPT: A scoping review," Technology in Society, Elsevier, vol. 75(C).

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