| Title | Evidence-based AI, ethics and the circular economy of knowledge |
|---|---|
| ID_Doc | 4634 |
| Authors | Berbenni-Rehm, C |
| Title | Evidence-based AI, ethics and the circular economy of knowledge |
| Year | 2023 |
| Published | Ai & Society, 38, 2 |
| 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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