Abstract
Everything we do in life involves a connection with information, experience and know-how: together these represent the most valuable of intangible human assets encompassing our history, cultures and wisdom. However, the more easily new technologies gather information, the more we are confronted with our limited capacity to distinguish between what is essential, important or merely ‘nice-to-have’. This article presents the case study of a multilingual Knowledge Management System, the Business enabling e-Platform that gathers and protects tacit knowledge, as the key to developing structured intellectual capital, while acknowledging the urgent need here to integrate Ethics-by-design alongside AI-by-design, in view of the far-reaching consequences involved, for good or ill. It also explains how a beneficial Circular Economy of Knowledge depends on evidence-based answers, and how harmonising taxonomies, terminology and standards promotes global trust as the basis for the unhindered transfer of tacit knowledge between generations in a way that benefits everyone.
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Notes
Including its subsets, e.g. (Deep) Machine Learning and Neural Technology.
The Business Enabling E-Platform PROMIS® is a new type of multilingual knowledge management system that is integrated within the versatile Integrated Management System framework. When combined with the multilingual terminology and cross-lingual information retrieval, together they form a powerful platform for structured process documentation, the integrated management of compliance, risk and governance, community building, multilingual communication, smart collaboration and e-Mentoring.
AI-by-Design and Ethics-by-Design, here understood as developing and refining the methodologies and rules to be integrated in ICT tools.
‘Communities of Knowledge’ is a new term, but there is a long tradition behind this concept and method. Communities of Knowledge in PROMIS® are new in the sense that the Bee-Platform offers tools for structuring explicit knowledge and individual tacit knowledge, and for transferring them from expert to SME, from association to members, from seasoned contributors to younger ones, from citizens to institutions and vice versa.
Industrialising Knowledge social business model: i.e. do the right job once and share it hundreds of times.
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Acknowledgements
Disruptive innovation is never the result of one person’s work only, but of the input –minor or major- made by everyone involved, whether inside and outside the organisation. In our case, my gratitude goes to: (i) the interdisciplinary team composed by 11 senior and junior IT developers, the multilingual, business, marketing, financial, legal experts and the 31 subject matter experts from all over Europe; (ii) my friend, Jeremy, who spent time with me in critical discussion of these topics, and helped me express them in better English.
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I declare having no conflict of interest that is relevant for this article. This article received no grant or financial support. The research, development and innovation work, between 2000 and 2013, has been partially funded by the European Commission.
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Berbenni-Rehm, C. Evidence-based AI, ethics and the circular economy of knowledge. AI & Soc 38, 889–895 (2023). https://doi.org/10.1007/s00146-022-01581-1
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DOI: https://doi.org/10.1007/s00146-022-01581-1
Keywords
- Circular Economy of Knowledge
- Artificial intelligence
- AI
- Communities of knowledge
- Tacit knowledge
- Explicit knowledge
- Business enabling e-Platform
- Bee-Platform
- Re-purpose knowledge
- Knowledge protection (IPR)
- Industrialising knowledge
- Multilingual big data
- AI-by-design
- Ethics-by-design
- Social business model
- Organisational culture
- Common good
- e-Mentoring
- Systemic Eco-Innovation
- Structured intellectual capital
- Human-centered methodology