Digital Engineering Transformation with Trustworthy AI towards Industry 4.0: Emerging Paradigm Shifts

Trustworthy AI is foundational to Industry 4.0: The paper identifies trustworthy AI as a critical enabling technology for digital engineering transformation, arguing that engineering design must integrate "trustworthy AI principles" and "digital trust" as essential building blocks alongside digitalization and machine intelligence to ensure systems are trustworthy in Industry 4.0.

Three pillars are needed for successful digital transformation: The paper outlines that digital engineering transformation requires three essential components working together: digitalization of engineering processes, leveraging ubiquitous machine intelligence (uMI), and building digital trust and security—suggesting that focusing on only one or two is insufficient.

"Ubiquitous machine intelligence" is the defining characteristic of the 4th industrial revolution: Rather than viewing AI as just another tool, the paper argues that machine intelligence becoming ubiquitous (widespread and embedded everywhere) is what fundamentally distinguishes Industry 4.0 from previous industrial revolutions.

Data-intensive approaches create new uncertainties: The paper identifies that the shift toward data-intensive paradigms in digital engineering introduces "main uncertainties" that organizations must address, implying that more data and AI don't automatically lead to better outcomes without proper governance.

Engineering design communities have an opportunity to lead responsible AI adoption: The paper positions engineers and designers as key stakeholders who can "bring together" trustworthy AI principles with system design, suggesting they have agency in shaping how AI is responsibly integrated into Industry 4.0 systems.