A Comprehensive Evaluation Framework for AI and Human Skill Complementarity Across Industry Sectors

Kemoklidze, Luka; Khurodze, Ramaz; Rigby, Colin

Abstract

The paper presents a comprehensive evaluation framework to assess the complementarity between artificial intelligence (AI) technologies and human skills across diverse industries. AI has transformed business operations, enhancing productivity, reducing costs, and reshaping workforce dynamics. The rise of Industry 5.0 emphasizes human-centric, sustainable production, highlighting the need for AI to complement rather than replace human expertise. The proposed framework evaluates AI-human collaboration through eight key dimensions: productivity, adaptability, skill enhancement , collaborative efficiency, safety, cognitive load management, innovation, and technological integration. Utilizing Multi-Criteria Decision Analysis (MCDA) and elements of the Analytic Hierarchy Process (AHP), the framework provides a structured, quantitative approach to measure AI's impact on human skill enhancement and overall productivity. Validation was conducted in companies across Georgia and the UK, revealing the framework's adaptability and effectiveness in real-world settings. The study found that successful AI integration not only improves operational efficiency but also requires a strategic focus on human skill development and adaptability. Practical recommendations for AI adoption emphasize gradual implementation, regular monitoring, targeted training , and fostering a culture of innovation. Future research aims to develop a digital model of the framework for real-time analysis, addressing the ongoing need for optimization and employee training as AI technologies evolve. This study contributes to the growing body of knowledge on human-AI complementarity, aligning with Industry 5.0 principles, and offers a practical tool for organizations aiming for sustainable, human-centric AI integration. © 2024 Bull. Georg. Natl. Acad. Sci. artificial intelligence, human skill complementarity, multi-criteria decision analysis, human-centric AI integration The transformative integration of artificial intelligence (AI) technologies has reached a pivotal stage across various industry sectors. AI has dramatically changed business operations, optimizing processes, reducing waste, and achieving new levels of automation and flexibility. This transformation extends beyond manufacturing, influencing sectors such as logistics, healthcare, finance, agriculture, and services. AI technologies like machine learning (ML), computer vision, natural language processing (NLP), and robotic process automation (RPA) are

Citation

Kemoklidze, L., Khurodze, R., & Rigby, C. (in press). A Comprehensive Evaluation Framework for AI and Human Skill Complementarity Across Industry Sectors. Bulletin of the Georgian National Academy of Sciences (Moambe), 18(4), 28-36

• Journal Article Type: Article
• Acceptance Date: Nov 4, 2024
• Online Publication Date: Dec 2, 2024
• Deposit Date: Apr 17, 2025
• Journal: BULLETIN OF THE GEORGIAN NATIONAL ACADEMY OF SCIENCES
• Print ISSN: 0132 - 1447
• Electronic ISSN: 0132 - 1447
• Publisher: Georgian National Academy of Sciences
• Peer Reviewed: Peer Reviewed
• Volume: 18
• Issue: 4
• Pages: 28-36
• Keywords: artificial intelligence, human skill complementarity, multi-criteria decision analysis, human-centric AI integration
• Public URL: https://keele-repository.worktribe.com/output/1196227
• Publisher URL: http://science.org.ge/bnas/vol-18-4.html
• Related Public URLs: http://science.org.ge/bnas/t18-n4/04_Kemoklidze_Informatics.pdf