A Trust Paradox May Limit the Application of Al-Generated Knowledge

Petra A. Nylund, Xavier Ferràs-Hernández, Alexander Brem

Research output: Indexed journal article Articlepeer-review

Abstract

Overview: The extent of knowledge available to society may no longer be limited by human cognition or by refining algorithms. Instead, the interaction of the two may limit knowledge transfer and creation. We examine two behavioral paradoxes: Polanyi’s paradox, which has existed since 1966, and the Trust paradox, which we propose. We study four technology innovations—printing, digitalization, the Internet, and artificial intelligence (AI)—and assess how these paradoxes limit the use of knowledge created by each innovation. We found that while technology has largely overcome Polanyi’s paradox of limiting the transfer of tacit knowledge, the Trust paradox may limit the application of AI-generated knowledge. We identify five relevant drivers of trust—reliability, transparency, association, reciprocity, and accountability—and outline how each impacts and creates challenges for the application of AI.

Original languageEnglish
Pages (from-to)44-52
Number of pages9
JournalResearch Technology Management
Volume66
Issue number5
DOIs
Publication statusPublished - 3 Sept 2023

Keywords

  • Artificial intelligence
  • Innovation
  • Machine learning
  • Tacit knowledge
  • Trust

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