Perceptions of the Fourth Industrial Revolution and AI's Impact on Society

Perceptions of the Fourth Industrial Revolution and AI’s Impact on Society Brady D. Lund, Daniel Agbaji, Nishith Reddy Mannuru Abstract Purpose This study investigates public perceptions of Artificial Intelligence (AI) within the broader context of the Fourth Industrial Revolution. It focuses on how individuals from different information environments perceive the benefits, risks, and ethical challenges posed by AI technologies— particularly text-generative tools like ChatGPT. Design Data were collected through semi-structured interviews with participants categorized by information flow exposure. Thematic analysis was applied to identify patterns in perceptions, concerns, and suggested governance approaches related to AI and automation. Findings Participants commonly defined AI using terms such as "machine learning," "automation," and "human intelligence replication." While acknowledging benefits like problem-solving and increased efficiency, concerns were raised about job displacement, misinformation, data privacy, and copyright. Participants expressed diverse views on the role of government, ranging from regulatory oversight to development support. Originality/value This study contributes to the understanding of public sentiment toward emerging technologies in the Fourth Industrial Revolution. It highlights the importance of tailored AI literacy initiatives and informs policy frameworks that balance innovation with social accountability. Keywords: Artificial intelligence, Fourth Industrial Revolution, Public Perceptions of AI, AI Ethics, Generative AI, ChatGPT, Automation and Jobs, Data Privacy, AI Governance, Information Behavior Introduction The Fourth Industrial Revolution, specifically driven by Artificial Intelligence (AI), has had a profound and wide-ranging impact on various aspects of our lives (Spöttl & Windelband, 2021; Hyun Park et al., 2017). This significant influence has prompted individuals from diverse backgrounds and demographics to ponder which social, economic, and political factors will play the most substantial role in shaping the use of AI and whether its overall impact will be beneficial or detrimental (Kaplan & Haenlein, 2020; Petit, 2017; Prince & Schwarcz, 2019). Adding to these concerns, the recent advancement of Text Generative AI tools like ChatGPT has raised significant ethical, security, privacy, and copyright issues, as the content produced by such tools raises questions and challenges for users (West, 2018; Coeckelbergh, 2020; Vartiainen & Tedre, 2023). While previous research has explored the influence of user perceptions on various aspects of society, including social dynamics, politics, the economy, and education, most studies have focused on understanding why and not how users form their perceptions of AI (Williams et al., 2019; Wood & Evans, 2018). To address these gaps, this study examines individuals in different information flow categorizations, specifically exploring how their perceptions of AI may differ and how these perceptions can impact their interactions with AI technology. To help bridge the gaps in current studies relating to the perception of AI among users, this study used data from semi-structured interviews to analyze the current perceptions of AI among varying populations. The results showed what level of information flow an AI user will likely fall under, their sources of information relating to AI, and how their perception of AI affects its engagement and recommendation. It also revealed concerns AI users have and their suggestions to solve some of the current social-economical, privacy, and copyright issues relating to the use of AI. Literature Review The term "Industrial Revolution" refers to a period of rapid industrial and economic growth and societal change. We are on the verge of a technology revolution, that will radically transform the way we live, work, and interact with one another, while also bringing major changes in the world around us. The First Industrial Revolution was characterized by the transition from manual labor to mechanized production. It changed agrarian societies to industrialized ones as machines were made with the help of water and steam power (Schwab, 2016). The Second Industrial Revolution experienced fast industrial expansion that was much more advanced than the First Industrial Revolution resulting in significant improvements across a wide range of industries, including manufacturing, agriculture, and transportation (Fomunyam, 2019). Additionally, The second one made mass production possible with the help of electricity (Schwab, 2016). Hence this revolution was also called the Technological Revolution. The Third Industrial Revolution also referred to as the digital revolution, was characterized by the shift away from mechanical and analog technologies to digital electronics (Sakhapov & Absalyamova, 2018). That is, the Third used computers and gadgets to make the output more efficient (Schwab, 2016). Now, the Fourth Industrial Revolution is constructed on the Third, which has been going on since the middle of the last century and is all about digital technology. The term Fourth industrial revolution also called Industry 4.0 or 4IR was coined by Klaus Schwab, who was the founder and the executive chairman of the World Economic Forum, and described it as “a world where individuals move between digital domains and offline reality with the use of connected technology to enable and manage their lives” (Xu et al., 2018,p.90). It is made up of a mix of technologies that blur the lines between the real, digital, and living worlds (Schwab, 2016). The use of quantum computing, artificial intelligence, machine learning, the Internet of Things (IoT), biotechnology, 3D printing, and autonomous vehicles are among the essential components. Even though each industrial revolution is often seen as an independent event, but they are better understood as a set of events that build on the ideas of the previous revolution where each revolution builds upon the inventions of the one before it and lead to more advanced innovations. Throughout history, each industrial revolution brought about significant social changes. These innovations, which ranged from the steam engine to the Internet to AI, had a significant impact on the way the economy, jobs, and social life. And, only if we know about these changes and how fast they are happening, their advantages and disadvantages, can we make sure that improvements in knowledge and technology reach everyone and help everyone. Morrar et al., (2017) laid down a few reasons why Industry 4.0 is significant and is seen as revolutionary in this day and age of information technology. Firstly, Industry 4.0 makes it easier for manufacturers to deal with problems or challenges by making companies more flexible and able to adapt to business trends. Secondly, Industry 4.0 makes it possible for economies to undergo a change that will make them more innovative and, as a result, enhance their level of production. Third, it emphasizes the consumer's role as a co-producer and puts them at the center of everything. Finally, the application of cutting-edge technology to problems in areas like energy, resources, the environment, and social and economic repercussions will, in the end, pave the way for long-term success. Recent literature on the topic of the Fourth Industrial Revolution has mostly concentrated on the technical revolutionary aspects of Industry 4.0. The fast pace of technological progression and digitalization has raised questions about its impact on people personally and on the whole of society. Furthermore, Brynjolfsson and McAfee (2014) stressed the significance of understanding how the new industrial revolution affects the whole society in order to capitalize on the opportunities it offers. Hence, it is necessary to view technology innovations from a social standpoint when thinking about how they may be used to address societal issues and also the impact and influence it has on one's life. IMPACT FROM DIFFERENT SOCIETAL STANDPOINTS: There is a widespread fear that new technologies will cause the loss of many jobs in the near future. This fear stems from the fact that more human duties can now be handled by machines. Bessen (2019) estimates that anywhere from 9% of jobs to 47% are at risk of automation in the near future. However, Arntz et al., (2016) suggest that AI will also create new job types and businesses, just like other economic changes and industrial revolutions did. These new jobs may need different skill sets and, if neglected, may widen socioeconomic gaps. Additionally, AI’s ethical implications are also of major significance. As AI becomes more important in everyday life, problems like privacy, data security, bias, decision-making openness, and responsibility have become very important (Cath, 2018). Concerns have also been raised about the use of AI in surveillance, disinformation, and warfare. It is essential to address these ethical issues in order to prevent possible damage and to preserve the confidence of society. The effects of AI on education and learning are also very important to look at. AI will positively change education through personalized learning, more efficient administration, and global connections (Wang et al., 2023). However, there are worries about the privacy of data, the digital divide, and the need for educational institutions to adapt to fast-changing job markets. Different stakeholders, including teachers, students, and parents, have expressed opposing emotions (Luckin, 2018). Furthermore, understanding how governments react to the rise of advanced AI technologies is also of major importance. The pace of AI advancement and implementation may be significantly influenced by policy and regulatory responses (Schwab, 2016). Chen, (2009) calls for bold steps to guide the development of AI in a responsible way i.e., finding a balance between encouraging innovation and protecting society from its possible bad effects. Overall, the 4IR, driven by AI and other related technologies, presents both opportunities and challenges. Understanding the diverse societal perceptions and potential impacts can help navigate the transformative changes these technologies bring. Therefore, in order to understand the perspectives of people with regard to the 4IR and the advancements in AI, a qualitative analysis has been conducted to better understand their views from different lenses. Methods This study implemented a qualitative research method involving a semi-structured interview. Participants were contacted via email recruiting messages following an IRB approval of the study. A total of 15 participants were interviewed, during which 11 questions were asked to get relevant feedback on their information flow and perceptions of AI. The Zoom online video conferencing platform was used to conduct the interviews as it allows for both recording of the interview and transcription of the responses. At the end of the interview process, participants' responses were coded to formulate relevant themes matching the purpose of the study. These themes were saved on an Excel spreadsheet allowing for easy analysis. Excel data analysis features were used to analyze the coded themes and for creating the visualization. Results The results section of this paper is divided into two parts. In the first part, we look at themes in the participant-supplied definitions of the terms artificial intelligence and the fourth industrial revolution. In the second part, we look at responses to questions related to perceptions about AI and the fourth industrial revolution. Definitions of Key Terms The following definitions were supplied by the participants for the terms artificial intelligence and fourth industrial revolution. Using the definition of AI provided by IBM (2023), as “Artificial intelligence leverages computers and machines to mimic the problem-solving and decision-making capabilities of the human mind,” and definition of the fourth industrial revolution by Schwab (2023) as “the convergence of digital, biological, and physical innovations,” we calculated cosine similarity scores for each of the participant-supplied definitions. These similarity scores are provided in parentheses at the end of each definition, where a score of 1 indicates an identical meaning and a score of 0 indicates a completely dissimilar meaning. Definitions of Artificial Intelligence: 1. It's a branch of computer science that deals with developing systems or machines with human-like intelligence. It includes areas like natural language processing. (.884) 2. It's like a combination of different technologies that have been developed to match human intelligence. so that they could even sense and reason, like a typical human, would do in any situation or instance. (.911) 3. Training a machine or giving a machine the authority of sense that to make a decision like humans. (.713) 4. I wouldn't say replicating human intelligence, but I would say it's like an offshoot of that where you're trying to replicate. I think it's more like automation is what I think. But instead of having like these big industrial machines, you're doing it using a computer. And previously you had these machines doing physical tasks, but these are more mental. (.530) 5. I would say that that's something that these are machines and computers doing tasks that humans would. (.616) 6. Any machine that can learn and solve problems like a human brain can. (972) 7. Mimicking human intelligence by computer. (.866) 8. I would simply define it as programming machines to replicate human intelligence. (.883) 9. It is something that has made lives a lot easier for people and take decisions on behalf of humans. (.614) 10. It's a system that tries to mimic human intelligenceto think as humans. (.866) 11. It's a digital computer where it performs all the tasks, which a normal human can perform. (.669) 12. The generalized definition would be like the stimulation of human intelligence into something artificial like robots or into a machine. I would like to phrase it in a different way where we try to teach something which doesn't have knowledge of it at all. (.750) 13. Artificial intelligence is that it's usually computer-based intelligence, computers have been taught to appear to speak and communicate and listen and understand like humans. (.956) 14. It’s the simulation of human intelligence and machines and using machine learning algorithms that aim to mimic human cognitive thinking and to perform specified tasks. (.946) 15. I would define artificial intelligence as any non-human non-biological intelligence. (.365) Definitions of Fourth Industrial Revolution: 1. The evolution of emerging technologies and computing. (.684) 2. I believe that it's about the digitalization and automation of the processes which even more replace the human activities. (.708) 3. Not Sure. 4. Using AI robotics and the information communication technologies to its major extent to improve the human life. (.868) 5. I think it's this whole ideal, or I don't want to make it sound like where humans are getting replaced. But it's kind of like computers are. I don't want to use the word replace, but they are trying to kind of invade our space. (.373) 6. I would say that it's more of like the automation and AI, the Internet of things kind of just this whole, maybe even like the social aspect of technology. (.692) 7. The integration of digital technologies into the manufacturing industry. (.759) 8. An era associated with increased technological innovations that eliminate physical, digital and biological restrictions which changes the way we work, live and relate with one another. (.876) 9. Don’t Know. 10. It's about deep learning, an offset of AI built upon big data. (.668) 11. It's basically the new technological developments that are coming in this industry, such as virtual reality, artificial intelligence, and big data, which are growing currently. (.798) 12. Information being used, handled, and enhancing the outcome. (.450) 13. I kind of have an idea that it's related to using artificial intelligence. (.593) 14. I'd say that it is technological advancement. And it's an extension of the third revolution maybe, with more sophisticated programs, and all like, robotics, 3d printing, face recognition, and it's developing really quickly. And artificial intelligence-based systems and all that. (.911) 15. Not Sure. Synthesized Definitions With the assistance of ChatGPT, the following definitions were derived based on themes in the participants individual definitions of artificial intelligence and the fourth industrial revolution: Artificial intelligence is the development and use of digital/computer-based intelligence to replicate human abilities, through machine learning and automation, with the goal of enhancing human life by automating tasks and expanding intelligence beyond human capabilities. The Fourth Industrial Revolution is a transformative period marked by the integration of digital technologies into industries, revolutionizing processes through digitalization, automation, and emerging technologies, impacting human activities and enhancing information handling and outcomes. The following subsections identify some key themes that emerge in the participant-supplied definitions for each term. Themes in Definitions of Artificial Intelligence 1. Replicating human intelligence: Several responses mention the idea of artificial intelligence aiming to replicate or mimic human intelligence. This includes aspects such as sensing, reasoning, learning, problem-solving, and decision-making. 2. Machine learning and automation: The concept of training machines, programming them, or using algorithms to enable learning and problem-solving is a common theme. Many responses highlight the role of automation, replacing physical tasks with mental tasks performed by machines. 3. Human-like tasks and capabilities: Artificial intelligence is often associated with machines performing tasks that humans can do, such as speaking, communicating, listening, understanding, and solving problems. The focus is on achieving human-like abilities through technology. 4. Digital/computer-based intelligence: The idea that artificial intelligence exists in the realm of digital computers is mentioned in a couple of responses. It emphasizes that AI systems are built using computer technology. 5. Enhancement and ease of life: Some responses highlight the positive impact of artificial intelligence on human lives, making tasks easier and enabling machines to make decisions on behalf of humans. This theme emphasizes the benefits of AI technology. 6. Non-human, non-biological intelligence: One response offers a broader definition of artificial intelligence as any intelligence that is not human or biological in nature. This theme touches on the concept of intelligence existing beyond human capabilities. Themes in Definitions of Fourth Industrial Revolution 1. Digitalization and Automation: The notion of digitalizing and automating processes, often to replace human activities, is a recurring theme. It highlights the role of emerging technologies and computing in transforming traditional systems. 2. Technological Advancements: Several responses mention the Fourth Industrial Revolution as a period characterized by technological developments. This includes AI, robotics, virtual reality, big data, deep learning, the Internet of Things, and sophisticated programs. 3. Integration of Digital Technologies: The integration of digital technologies into various industries, such as manufacturing, is highlighted as a key aspect of the Fourth Industrial Revolution. 4. Changing the Way We Work and Live: The idea that the Fourth Industrial Revolution brings about changes in the way we work, live, and relate to one another is mentioned. It signifies the transformative impact of technological innovations on society. 5. Potential Replacement of Humans: Some responses express concerns or allude to the idea that computers or technology might replace or invade human spaces. This theme touches on the evolving relationship between humans and technology. 4 4 4 3 2 1 0 Very Well Informed Well Informed Somewhat Well Informed Not Very Well Only Informed Informed Through One Form of Media 6. Enhanced Information Handling and Outcomes: The use of information, handling of data, and the potential for enhancing outcomes through technology are mentioned as relevant aspects of the Fourth Industrial Revolution. Perceptions of Artificial Intelligence and the Fourth Industrial Revolution Extent Informed about Artificial Intelligence Figure 1 displays the responses to the extent to which participants felt informed about trends in artificial intelligence. The majority of respondents indicated that they were at least somewhat well informed about these trends; however, a few of the respondents indicated that they were not very well informed or were only informed to the extent to which they received information from a single platform, such as Facebook or Tik Tok. 3 3 1 Where Information About Use of AI Received Figure 2 shows the results for where information about AI was received by participants. News media and social media were clearly the most common sources. Sources like scholarly journals and blogs were mentioned by a few participants, particularly those who indicated that they were “very well informed” about artificial intelligence. 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