AI in Context: Harnessing Domain Knowledge for Smarter Machine Learning
Source abstract
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.
Source: crossref · Quality: baseline
Research context
OpenAlex topics: Ethics and Social Impacts of AI · Explainable Artificial Intelligence (XAI) · Artificial Intelligence in Healthcare and Education
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
Institute of Marine and Environmental Sciences, University of Szczecin, 71-314 Szczecin, Poland
Faculty of Data Science and Information, INTI International University, Nilai 71800, Negeri Sembilan, Malaysia
Faculty of Navigation, Maritime University of Szczecin, 71-650 Szczecin, Poland
Institute of Biology, University of Szczecin, 71-316 Szczecin, Poland
Faculty of Mechatronics and Electrical Engineering, Maritime University of Szczecin, 71-650 Szczecin, Poland
Faculty of Marine Engineering, Maritime University of Szczecin, 71-650 Szczecin, Poland
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