AIMC Topic: Workforce

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Is it necessary? A framework for assessing the utility of A.I. in HRM practices.

Acta psychologica
Artificial Intelligence is expected to be a value-adding intervention in HRM processes; however, there is still a large gap between its perception of value-addition and its actual utility. In this article, we utilize transaction cost and resource-bas...

An equitable and sustainable community of practice framework to address the use of artificial intelligence for global health workforce training.

Human resources for health
Artificial Intelligence (AI) technologies and data science models may hold potential for enabling an understanding of global health inequities and support decision-making related toward possible interventions. However, AI inputs should not perpetuate...

Evaluation of AIML + HDR-A Course to Enhance Data Science Workforce Capacity for Hispanic Biomedical Researchers.

International journal of environmental research and public health
Artificial intelligence (AI) and machine learning (ML) facilitate the creation of revolutionary medical techniques. Unfortunately, biases in current AI and ML approaches are perpetuating minority health inequity. One of the strategies to solve this p...

Knowledge, perceptions, and expectations of Artificial intelligence in radiography practice: A global radiography workforce survey.

Journal of medical imaging and radiation sciences
BACKGROUND: Artificial Intelligence (AI) technologies have already started impacting clinical practice across various settings worldwide, including the radiography profession. This study is aimed at exploring a world-wide view on AI technologies in r...

Enterprise Human Resource Management Model by Artificial Intelligence Digital Technology.

Computational intelligence and neuroscience
Artificial intelligence (AI) is a potentially transformative force that is likely to change the role of management and organizational practices. AI is revolutionizing corporate decision-making and changing management structures. The visible effects o...

Human Resource Demand Prediction and Configuration Model Based on Grey Wolf Optimization and Recurrent Neural Network.

Computational intelligence and neuroscience
Business development is dependent on a well-structured human resources (HR) system that maximizes the efficiency of an organization's human resources input and output. It is tough to provide adequate instructions for HR's unique task. In a time when ...

Human Resource Data Integration System Based on Artificial Intelligence Environment.

Journal of environmental and public health
In an AI environment, this article suggests an HR data integration system based on a hidden semantic model to address the low integration of HR raw data. It provides a decision-making framework for enterprise personnel recruitment and employee traini...

Construction of Hospital Human Resource Information Management System under the Background of Artificial Intelligence.

Computational and mathematical methods in medicine
Under the background of artificial intelligence (AI), a human resource information management system was designed to facilitate hospital human resource management and improve hospital management efficiency. Based on AI, SOA was constructed and Java2 ...

Machine Learning-Driven Enterprise Human Resource Management Optimization and Its Application.

Computational intelligence and neuroscience
With the advent of the Internet era, the frequency and proportion of candidates obtaining recruitment information through the Internet is getting higher and higher, and the amount of human resource information, such as talent information and job info...