When Industry meets Trustworthy AI: A Systematic Review of AI for Industry 5.0

Industry 5.0 represents a shift toward human-centric AI adoption: Unlike Industry 4.0's focus on automation and efficiency, Industry 5.0 emphasizes sustainability, human-centeredness, and resilience alongside AI deployment, meaning companies should prioritize worker wellbeing and environmental impact alongside technological gains.

Trustworthy AI principles must be integrated early in adoption: The paper emphasizes that how AI is incorporated "in the early stages" significantly impacts outcomes, suggesting organizations need to embed responsible AI practices from the beginning of implementation rather than retrofitting them later.

There are significant gaps in industry readiness for trustworthy AI: The systematic review identifies challenges and gaps in the transition from Industry 4.0 to 5.0, indicating that many companies lack the frameworks, expertise, or organizational structures needed to responsibly deploy AI at scale.

AI adoption processes have broad economic and societal consequences: The paper stresses that "the process followed by the adoption has a significant impact on the economy and society," highlighting that responsible AI implementation in industry isn't just a technical concern but a matter of public interest requiring careful governance.

Practitioners need guidance on trustworthy AI opportunities: The research identifies "novel opportunities" for responsible AI adoption in industry, suggesting there are concrete, actionable pathways for companies to pursue trustworthy AI rather than viewing it as purely a constraint on innovation.