When Industry meets Trustworthy AI: A Systematic Review of AI for Industry 5.0
Eduardo Vyhmeister, Gabriel G. Castane

TL;DR
This systematic review examines how AI is integrated into Industry 5.0, emphasizing trustworthiness, sustainability, and human-centric principles, highlighting current trends, challenges, and opportunities for adoption.
Contribution
It provides a comprehensive analysis of Trustworthy AI in Industry 5.0, identifying key challenges, trends, and readiness levels for industry adoption.
Findings
AI promotes sustainability and human-centricity in Industry 5.0
Challenges include trust, transparency, and integration issues
Opportunities for enhancing industry readiness and AI adoption strategies
Abstract
Industry is at the forefront of adopting new technologies, and the process followed by the adoption has a significant impact on the economy and society. In this work, we focus on analysing the current paradigm in which industry evolves, making it more sustainable and Trustworthy. In Industry 5.0, Artificial Intelligence (AI), among other technology enablers, is used to build services from a sustainable, human-centric and resilient perspective. It is crucial to understand those aspects that can bring AI to industry, respecting Trustworthy principles by collecting information to define how it is incorporated in the early stages, its impact, and the trends observed in the field. In addition, to understand the challenges and gaps in the transition from Industry 4.0 to Industry 5.0, a general perspective on the industry's readiness for new technologies is described. This provides…
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Taxonomy
TopicsDigital Transformation in Industry
