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TRV-2026-0403Version 1 · Certified

Written 2026-07-20 10:30:19 UTC · current record

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TRUVACE RECORD VERSION
record: TRV-2026-0403
version: 1
kind: certified
reason: Certified into the record
timestamp: 2026-07-20T10:30:19.215581Z
status: published
lens: g_space
sector: policy
headline: Human-Centered and Sustainable Artificial Intelligence in Industry 5.0: Challenges and Perspectives
dek: The aim of this position paper is to identify a specific focus and the major challenges related to the human-centered artificial intelligence (HCAI) approach in the field of Industry 5.0 and the circular economy. A first step towards the opening of a line of research is necessary to aggregate multidisciplinary and interdisciplinary skills to promote and take into consideration the different aspects related to this topic, from the more technical and engineering aspects to the social ones and the repercussions in…
gain_title: AI-optimized additive manufacturing can enable more sustainable production systems and support circular-economy applications like supply-chain management and product customization in Industry 5.0.
problem_title: (none)
trace_subject: (none)
gain_reading: AI-optimized additive manufacturing can enable more sustainable production systems and support circular-economy applications like supply-chain management and product customization in Industry 5.0.
gain_evidence: disruptive opportunity for more sustainable production systems that can be better optimized with AI
problem_reading: (none)
problem_evidence: (none)
quick_read: On 2024-06-26 this peer-reviewed position paper proposed a research agenda for human-centered AI in Industry 5.0 and the circular economy, selecting additive manufacturing as the central platform to integrate technical, social and sustainability considerations.

The proposal matters because it links AI optimization of AM to potential gains in sustainable production, supply-chain organization and customized products, while also flagging that by the publication date these were prospective opportunities and tentative policy recommendations rather than measured deployments, leaving empirical validation, scalability and regulatory approaches uncertain.
limitation: Work is framed as preliminary and prospective rather than empirical, described as a first step and offering only tentative recommendations.
tag: Evidence-backed gain
key_points: Position paper aims to identify focus and major challenges for human-centered AI in Industry 5.0 and circular economy. | Authors propose additive manufacturing as the specific field to aggregate technical, engineering and social aspects of HCAI. | Two high-impact prospective areas named are AM-oriented supply chain and product customization enabled by IoT, cloud and edge computing, and 5G. | Paper concludes with policy challenges for regulators and tentative policy recommendations for decision-makers.
rundown: The paper identifies additive manufacturing as the interaction field where HCAI concepts can be applied and tested, aggregating multidisciplinary skills from technical and engineering to social and sustainability repercussions.

It highlights AM-oriented supply chain and product customization as prospective high-impact areas enabled by IoT, cloud and edge computing, and next-generation networks (5G), and closes by noting policymakers face significant challenges in regulating AI and addressing its socioeconomic and technological impacts.
sources:
- peer_reviewed | Sustainability | https://doi.org/10.3390/su16135448 | 2024-06-26
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