Towards Effective Knowledge Transfer and Trust in the Age of Artificial Intelligence

Abstract

Generative artificial intelligence (AI) promises to revolutionize education and knowledge transfer. Educational paradigms are shifting as more AI- enabled tools flood the market. Combatting the common risks of hallucinations, outdated knowledge, and untraceable decision making are retrieval- augmented generation (RAG) models’ promises. AI- assisted tools for education in both academia and industry have the potential of utilizing information retrieval methods like RAG for increasing knowledge transfer while increasing trust in the system. The paper describes the “state of the art” in AI progress towards educational assistants and how current trends can help (or hinder) knowledge transfer and ultimately trust.