โก Quick Summary
The emergence of Industry 5.0 aims to harness the power of Big Data through Artificial Intelligence (AI) and the Internet of Things (IoT), while addressing the vulnerabilities of extreme automation. This new paradigm emphasizes democratizing knowledge and ensuring responsible technology implementation.
๐ Key Details
- ๐ Focus: Industry 5.0 and its implications for Big Data and automation.
- ๐งฉ Components: AI, IoT, and collaborative robots (cobots).
- โ๏ธ Strategy: Emphasis on symmetrical innovation in technology policy.
- ๐ Key Concept: “Post-ELSI Technology Evaluation Research” (PETER).
๐ Key Takeaways
- ๐ Industry 5.0 seeks to democratize knowledge coproduction from Big Data.
- ๐ Extreme automation poses risks such as systemic failures and authoritarian governance.
- ๐ก๏ธ Safe exit strategies are crucial for managing hyperconnected digital networks.
- โ๏ธ Balance between acceleration and deceleration of innovation is essential.
- ๐ PETER framework addresses ethics and opportunity costs in technology policymaking.
- ๐ค AI and cobots are pivotal in interpreting Big Data from IoT devices.
- ๐ Global governance of emerging technologies is a priority for sustainable development.
๐ Background
The rapid advancement of technology has led to the rise of Industry 4.0, characterized by automation and connectivity. However, the transition to Industry 5.0 is necessary to address the challenges posed by extreme automation, including potential systemic risks and the concentration of power. This new approach aims to create a more equitable and sustainable technological landscape.
๐๏ธ Study
The authors, รzdemir and Hekim, explore the implications of Industry 5.0 in their article published in OMICS. They propose a framework that integrates AI, IoT, and next-generation technology policy to enhance the understanding and utilization of Big Data while ensuring safety and ethical considerations are prioritized.
๐ Results
The study highlights the importance of 3D symmetry in innovation ecosystem design, which includes built-in safe exit strategies, balanced innovation processes, and a focus on social science and humanities research. These elements are essential for mitigating risks associated with hyperconnected systems and ensuring responsible technology deployment.
๐ Impact and Implications
The implications of Industry 5.0 are profound, as it aims to reshape how we interact with technology and data. By prioritizing democratic knowledge production and ethical governance, this new paradigm could lead to more equitable access to technological advancements and a reduction in the risks associated with extreme automation. The potential for improved global governance of emerging technologies is a significant step towards a sustainable future.
๐ฎ Conclusion
Industry 5.0 represents a critical evolution in our approach to technology and data management. By emphasizing safety, ethical considerations, and democratic participation, we can harness the benefits of AI and IoT while mitigating the risks of extreme automation. The future of technology policy looks promising, and further research in this area is essential for realizing its full potential.
๐ฌ Your comments
What are your thoughts on the transition to Industry 5.0? How do you see it impacting our relationship with technology? ๐ฌ Share your insights in the comments below or connect with us on social media:
Birth of Industry 5.0: Making Sense of Big Data with Artificial Intelligence, “The Internet of Things” and Next-Generation Technology Policy.
Abstract
Driverless cars with artificial intelligence (AI) and automated supermarkets run by collaborative robots (cobots) working without human supervision have sparked off new debates: what will be the impacts of extreme automation, turbocharged by the Internet of Things (IoT), AI, and the Industry 4.0, on Big Data and omics implementation science? The IoT builds on (1) broadband wireless internet connectivity, (2) miniaturized sensors embedded in animate and inanimate objects ranging from the house cat to the milk carton in your smart fridge, and (3) AI and cobots making sense of Big Data collected by sensors. Industry 4.0 is a high-tech strategy for manufacturing automation that employs the IoT, thus creating the Smart Factory. Extreme automation until “everything is connected to everything else” poses, however, vulnerabilities that have been little considered to date. First, highly integrated systems are vulnerable to systemic risks such as total network collapse in the event of failure of one of its parts, for example, by hacking or Internet viruses that can fully invade integrated systems. Second, extreme connectivity creates new social and political power structures. If left unchecked, they might lead to authoritarian governance by one person in total control of network power, directly or through her/his connected surrogates. We propose Industry 5.0 that can democratize knowledge coproduction from Big Data, building on the new concept of symmetrical innovation. Industry 5.0 utilizes IoT, but differs from predecessor automation systems by having three-dimensional (3D) symmetry in innovation ecosystem design: (1) a built-in safe exit strategy in case of demise of hyperconnected entrenched digital knowledge networks. Importantly, such safe exists are orthogonal-in that they allow “digital detox” by employing pathways unrelated/unaffected by automated networks, for example, electronic patient records versus material/article trails on vital medical information; (2) equal emphasis on both acceleration and deceleration of innovation if diminishing returns become apparent; and (3) next generation social science and humanities (SSH) research for global governance of emerging technologies: “Post-ELSI Technology Evaluation Research” (PETER). Importantly, PETER considers the technology opportunity costs, ethics, ethics-of-ethics, framings (epistemology), independence, and reflexivity of SSH research in technology policymaking. Industry 5.0 is poised to harness extreme automation and Big Data with safety, innovative technology policy, and responsible implementation science, enabled by 3D symmetry in innovation ecosystem design.
Author: [‘รzdemir V’, ‘Hekim N’]
Journal: OMICS
Citation: รzdemir V and Hekim N. Birth of Industry 5.0: Making Sense of Big Data with Artificial Intelligence, “The Internet of Things” and Next-Generation Technology Policy. Birth of Industry 5.0: Making Sense of Big Data with Artificial Intelligence, “The Internet of Things” and Next-Generation Technology Policy. 2018; 22:65-76. doi: 10.1089/omi.2017.0194