AI in Context: Harnessing Domain Knowledge for Smarter Machine Learning

This article delves into the critical integration of domain knowledge into AI/ML systems across various industries, highlighting its importance in developing ethically responsible, effective, and contextually relevant solutions. Through detailed case studies from the healthcare and manufacturing sectors, we explore the challenges, strategies, and successes of this integration. We discuss the evolving role of domain experts and the emerging tools and technologies that facilitate the incorporation of human expertise into AI/ML models. The article forecasts future trends, predicting a more seamless and strategic collaboration between AI/ML and domain expertise. It emphasizes the necessity of this synergy for fostering innovation, ensuring ethical practices, and aligning technological advancements with human values and real-world complexities.

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Publication Details

Journal
Applied Sciences
Published
2024-12-12
DOI
https://doi.org/10.3390/app142411612
Citations
24
Primary Topic
Ethics and Social Impacts of AI
Type
article
Field-Weighted Citation Impact
12.62
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article

AI in Context: Harnessing Domain Knowledge for Smarter Machine Learning

R. Jasionowski, Tymoteusz I. Miller, Adrianna Łobodzińska, Irmina Durlik et al.
24 citations
Applied Sciences
Ethics and Social Impacts of AI
12.62
article

AI in Context: Harnessing Domain Knowledge for Smarter Machine Learning

R. Jasionowski, Tymoteusz I. Miller, Adrianna Łobodzińska, Irmina Durlik, Lech Dorobczyński
article en
24 citations

Abstract

This article delves into the critical integration of domain knowledge into AI/ML systems across various industries, highlighting its importance in developing ethically responsible, effective, and contextually relevant solutions. Through detailed case studies from the healthcare and manufacturing sectors, we explore the challenges, strategies, and successes of this integration. We discuss the evolving role of domain experts and the emerging tools and technologies that facilitate the incorporation of human expertise into AI/ML models. The article forecasts future trends, predicting a more seamless and strategic collaboration between AI/ML and domain expertise. It emphasizes the necessity of this synergy for fostering innovation, ensuring ethical practices, and aligning technological advancements with human values and real-world complexities.

Applied SciencesVol. 14(24)
University of Szczecin (PL), INTI International University (MY), Maritime University of Szczecin (PL)
Industry, innovation and infrastructure
Openalex Percentile: Top 1%
Ethics and Social Impacts of AI
12.62
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