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Prof. Dr. Melissa Vasi FRSA
Professor & Program Director


Department: IT & Technology

DHAW - Deutsche Hochschule für angewandte Wissenschaften



AI for Social Good: harnessing Intelligent Collaboration for Open Social Innovation practices


Book chapter


Melissa Vasi
Open Innovation: Collaborative Models, Risk Sharing, and Organizational Transformation, Nova Science Publishers, Inc.

Cite

Cite

APA   Click to copy
Vasi, M. AI for Social Good: harnessing Intelligent Collaboration for Open Social Innovation practices. In Open Innovation: Collaborative Models, Risk Sharing, and Organizational Transformation. Nova Science Publishers, Inc. .


Chicago/Turabian   Click to copy
Vasi, Melissa. “AI for Social Good: Harnessing Intelligent Collaboration for Open Social Innovation Practices.” In Open Innovation: Collaborative Models, Risk Sharing, and Organizational Transformation. Nova Science Publishers, Inc. , n.d.


MLA   Click to copy
Vasi, Melissa. “AI for Social Good: Harnessing Intelligent Collaboration for Open Social Innovation Practices.” Open Innovation: Collaborative Models, Risk Sharing, and Organizational Transformation, Nova Science Publishers, Inc. .


BibTeX   Click to copy

@inbook{melissa-a,
  title = {AI for Social Good: harnessing Intelligent Collaboration for Open Social Innovation practices},
  publisher = {Nova Science Publishers, Inc. },
  author = {Vasi, Melissa},
  booktitle = {Open Innovation: Collaborative Models, Risk Sharing, and Organizational Transformation}
}

Abstract
Artificial Intelligence (AI) is increasingly recognized as a transformative force in innovation processes, yet its potential to advance Open Social Innovation (OSI) remains underexplored. This paper investigates how AI can support the design, implementation, and scaling of OSI projects, which rely on collaborative, cross-sectoral approaches to address societal challenges. Drawing on recent developments in machine learning, natural language processing, and decision-support systems, this study highlights AI’s role in enhancing ideation, facilitating stakeholder engagement, enabling evidence-based decision-making, and fostering inclusive participation. The analysis synthesizes insights from case studies spanning open innovation platforms, civic technology initiatives, social entrepreneurship ecosystems, and AI-driven public value creation in complex, large-scale contexts, and conceptualizes AI’s role in OSI through three interrelated functions: as a prosthetic extension of cognition; as an institutional mechanism; and as an infrastructural element. By outlining a conceptual framework that considers AI as both a technological and socio-organizational enabler of OSI, this study contributes to the emerging discourse on scalable solutions to pressing grand challenges by offering actionable recommendations for the responsible use of AI for social good. 


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