AI-SPECIFIC COMPETENCIES - REQUIREMENTS FOR THE FUTUREWORKPLACE

The article examines the impact of artificial intelligence (AI) onfuture workplace competencies and requirements. Based on an extensive literature review, competency models are developed to define the skills necessary for the effective use of AI. Key areas include technical knowledge, the operation of AI systems, and their social and ethical implications. Specific competencies such as data analysis, programming, ethical decision-making, and problem-solving are highlighted. Furthermore, the article emphasizes the need for companies to foster lifelong learning to continuously adapt employees’ digital and AI-related skills. The study also identifies disparities in AI adoption between small and large enterprises and highlights challenges such as employee qualification and change management. Finally, it underscores the necessity of systematically developing both technical and social skills to meet the demands of an AI-driven workplace.

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Publication Details

Journal
E-Journal VFU
Published
2024-12-17
DOI
https://doi.org/10.53606/evfu.22.675-687
Primary Topic
Competency Development and Evaluation
Type
article
Field-Weighted Citation Impact
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article

AI-SPECIFIC COMPETENCIES - REQUIREMENTS FOR THE FUTUREWORKPLACE

Arno Onnen
E-Journal VFU
Competency Development and Evaluation
article

AI-SPECIFIC COMPETENCIES - REQUIREMENTS FOR THE FUTUREWORKPLACE

Arno Onnen
article en

Abstract

The article examines the impact of artificial intelligence (AI) onfuture workplace competencies and requirements. Based on an extensive literature review, competency models are developed to define the skills necessary for the effective use of AI. Key areas include technical knowledge, the operation of AI systems, and their social and ethical implications. Specific competencies such as data analysis, programming, ethical decision-making, and problem-solving are highlighted. Furthermore, the article emphasizes the need for companies to foster lifelong learning to continuously adapt employees’ digital and AI-related skills. The study also identifies disparities in AI adoption between small and large enterprises and highlights challenges such as employee qualification and change management. Finally, it underscores the necessity of systematically developing both technical and social skills to meet the demands of an AI-driven workplace.

E-Journal VFU(22)
University of Library Studies and Information Technologies (BG)
Openalex Percentile: Top 64%
Competency Development and Evaluation
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