โก Quick Summary
The emergence of Industry 5.0 aims to harness the power of Big Data and Artificial Intelligence (AI) while addressing the vulnerabilities posed by extreme automation and connectivity. This new paradigm emphasizes a balanced approach to innovation, ensuring safety and ethical considerations in technology policymaking.
๐ Key Details
- ๐ Focus: Industry 5.0 and its implications for Big Data and automation.
- ๐งฉ Technologies involved: AI, Internet of Things (IoT), and collaborative robots (cobots).
- โ๏ธ Key concepts: Symmetrical innovation and Post-ELSI Technology Evaluation Research (PETER).
- ๐ Vulnerabilities: Systemic risks and potential authoritarian governance structures.
๐ Key Takeaways
- ๐ Industry 5.0 seeks to democratize knowledge production from Big Data.
- ๐ Extreme automation raises concerns about systemic risks and network vulnerabilities.
- โ๏ธ Symmetrical innovation includes built-in exit strategies for hyperconnected systems.
- ๐ก Emphasis on both acceleration and deceleration of innovation to avoid diminishing returns.
- ๐ง PETER framework addresses ethics and opportunity costs in technology policymaking.
- ๐ Global governance of emerging technologies is essential for responsible implementation.
- ๐ Safe exit strategies allow for “digital detox” from automated networks.
- ๐ Industry 5.0 is positioned to enhance safety and responsibility in technology use.
๐ Background
The rapid advancement of technology has led to the rise of Industry 4.0, characterized by high levels of automation and connectivity. However, this extreme automation has raised critical questions about the implications for Big Data and the ethical considerations surrounding its use. As we transition to Industry 5.0, it becomes essential to address these challenges while leveraging the benefits of new technologies.
๐๏ธ Study
The authors, รzdemir and Hekim, explore the concept of Industry 5.0 in their article published in OMICS. They propose a framework that incorporates AI, IoT, and cobots to create a more resilient and ethical approach to technology implementation. The study emphasizes the need for a balanced innovation ecosystem that prioritizes safety and ethical considerations.
๐ Results
The study highlights the importance of symmetrical innovation in the design of technology ecosystems. By integrating safety measures and ethical considerations into the innovation process, Industry 5.0 aims to mitigate the risks associated with extreme automation. The authors argue that this approach can lead to more responsible and sustainable technology use.
๐ Impact and Implications
The implications of Industry 5.0 are profound. By addressing the vulnerabilities of extreme automation and promoting ethical technology use, this new paradigm has the potential to reshape industries and improve societal outcomes. The focus on global governance and ethical considerations ensures that technological advancements benefit all stakeholders, rather than concentrating power in the hands of a few.
๐ฎ Conclusion
The birth of Industry 5.0 represents a significant shift in how we approach technology and innovation. By prioritizing safety, ethics, and balanced innovation, we can harness the power of Big Data and AI responsibly. As we move forward, it is crucial to continue exploring these concepts to ensure that technology serves humanity rather than the other way around.
๐ฌ Your comments
What are your thoughts on the transition to Industry 5.0? How do you think we can best address the challenges posed by extreme automation? Letโs start a conversation! ๐ฌ Leave your thoughts 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