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ZENODO
Article . 2024
License: CC BY
Data sources: ZENODO
ZENODO
Article . 2024
License: CC BY
Data sources: Datacite
ZENODO
Article . 2024
License: CC BY
Data sources: Datacite
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Towards a Super Smart Society 5.0: Opportunities and Challenges of Integrating Emerging Technologies for Social Innovation

Authors: Dr.A.Shaji George; A.S.Hovan George;

Towards a Super Smart Society 5.0: Opportunities and Challenges of Integrating Emerging Technologies for Social Innovation

Abstract

Society 5.0 represents an ambitious vision for integrating cyber and physical systems at a societal scale to enhance quality of life. Core to this vision is leveraging technologies like AI, big data, and robotics to enable a transition towards a human-centric and environmentally sustainable future. This integration promises major innovations across vital sectors like healthcare, manufacturing, agriculture, and governance. In healthcare, personalized medicine powered by genomic analysis and wearable tech can transform treatment from reactive to preventative. Remote patient monitoring and computer-assisted diagnosis and procedures can also enhance access and outcomes. In manufacturing, highly flexible cyber-physical production systems and AI-directed customization can enable mass personalization. Resilient, optimized supply chains can also accelerate industry growth. Precision agriculture via satellites, sensors and automated farm equipment can boost yields to sustainably feed populations. Adaptive learning software, VR simulations, and AI tutors can make education more engaging, accessible, and impactful. Smart cities and grids can use real-time data optimization to improve sustainability and livability. Digital finance can broaden financial access and inclusion to underserved groups. Environmental sensors networked via IoT can also enable granular tracking of ecological health. However, this transition also faces major ethical, social and governance challenges. Automation and AI present risks of job losses and workforce displacement even as new specialized roles open up. Biased data or algorithms can amplify injustice. Pervasive surveillance required for cyber-physical integration raises civil liberty concerns. Unequal access to emerging tech and skills shortages threatens a "digital divide". Failing to update policies on privacy, automation and tech ethics also creates uncertainty that undermines progress. Responsibly guiding Society 5.0 requires evidence-based governance of AI/data use, extensive retraining initiatives, investments in skill-building, and multi-stakeholder coordination. Creating frameworks for algorithmic transparency and accountability can address bias issues. Investing in digital literacy from a young age can develop the hybrid skills crucial to adaptability. Governments funding reskilling programs and Industry 4.0 vocational training can also help workforces transition. Expanding internet access infrastructure is critical so innovations don't only benefit the privileged few. Partnerships between government, academia, industry and society will drive socially conscious progress. ultimately, Society 5.0 aims for scientific advancement grounded in human welfare — raising living standards while avoiding the risks of dehumanizing automation that solely serve corporate profits. The underlying values must remain centered on equity, ethics, empowerment, and environmentalism. If this monumental transition succeeds, Society 5.0 could inaugurate a new era of broadly shared health, prosperity, and sustainability where emerging technologies drive positive transformation. However, progress relies on evidence-based governance, participative policymaking, multi-stakeholder symbiosis, and democratically upholding moral considerations amid rapid, mammoth technological shifts touching every aspect of work, life, and society.

Keywords

Society 5.0, Innovation, Technology, Automation, Ethics, Governance, Healthcare, Sustainability, Partnerships, Inclusion.

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    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    2
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
2
Top 10%
Average
Average
Green