A Conceptual Framework for Enhancing Workforce Readiness for Smart Manufacturing in the AI Era
arXiv:2608.11540v1 Announce Type: cross Abstract: The convergence of artificial intelligence (AI), Industrial Internet of Things, cyber-physical systems, and advanced robotics is reshaping manufacturing faster than engineering curricula can adapt, widening the gap between the competencies required on the shop floor and those delivered by traditional engineering and technology education. This paper proposes a Workforce Readiness Level (WRL) framework, which adapts the Technology Readiness Level s
Record details
Published: 13 August 2026
Source: arXiv cs.CY
Category: Research
Topics: Jobs & economy · Military & security · Children & education · Agents & autonomy
Retrieved: 13 August 2026
Related evidence
These records share source-supplied organisations, an exact publisher byline, automatic topics or regions. The reason is shown on every link; related does not mean supporting, agreeing with or verifying this record.
(Im)Paired Programming: Coding Agents Improve Productivity but Harm Understanding
arXiv cs.HC · 29 July 2026
Open Veins of Algorithmic Auditing: Why AI Assessment Lags Behind Its Deployment in the Global South
arXiv · 23 July 2026
To Nuke or Not to Nuke: LLMs' (Missing) Ethical Reasoning and Actions in a High-Stakes Decision-Making Simulation
arXiv · 6 June 2026
A Review on Virtual Reality Skill Training Applications
OpenAlex · 30 April 2021
A Literature Review on New Robotics: Automation from Love to War
OpenAlex · 8 April 2015
Kenya Pushes AI and Robotics Education Through National Youth Innovation Initiative
AI for Good (ITU) · 3 August 2026
How to cite this record
ethics.ai (13 August 2026), “A Conceptual Framework for Enhancing Workforce Readiness for Smart Manufacturing in the AI Era,” evidence record 18726, https://ethics.ai/record/18726 (originally published by arXiv cs.CY).
Use and limitations
This page is a stable index and citation surface for a source record. ethics.ai did not author the underlying report and has not independently verified every claim. Automatic topics may be imperfect. For consequential use, quote and cite the original publisher.