Impact of AI-based automation on the world
By Professor Dr Kyriakos Kouveliotis, Provost & Chief Academic Officer at Berlin School of Business and Innovation and Dr Farshad Badie, Vice-Dean of Computer Science and Informatics at Berlin School of Business and Innovation
It is commonly agreed that the world today is changing at an incredible rate, and different processes are using technology more and more every day. New terms have been introduced and everybody now talks about Artificial Intelligence, Chatbots, ChatGPT, Blockchain, FinTech and the Metaverse. In this framework, one of the most widely used applications of artificial intelligence today is to simplify employee tasks and office automation.
We need to take for granted that, technology has had a significant impact on various industries. Automation, the process of using machines or software to perform tasks that would typically require human intervention, is one of the industries that has been saliently supported by technologies. In addition, the recent advancements in artificial intelligence (AI) have significantly improved the efficacy and efficiency of the automation processes and, in fact, created a strong platform for the industrialisation of automation.
Industrialisation of automation is the process of integrating automation into various industries to improve productivity (based on the relationships between outputs and the time of production) and efficiency (based on the relationships between outputs and inputs). It shall be noted that automation has been an essential tool in the manufacturing industry since the Industrial Revolution, but recent advancements in AI have expanded its applications to various industries. AI has enabled automation to analyse large amounts of data, make decisions based on that data, and detect potential problems before they occur. In this article we focus on the benefits of AI in the industrialisation of automation.
Effective Data Visualisation and Analysis
One of the primary benefits of AI in the industrialisation of automation is that it can analyse large amounts of data quickly and efficiently. This means that AI-powered/based machines can make more appropriate, and faster, decisions. These decisions can lead us to higher levels of productivity as well as lower levels of errors/mistakes. Additionally, AI can monitor and analyse data in real-time. Accordingly, the manufacturers will be enabled to be quickly adapted to changing circumstances.
Problem Prediction and Identification
AI can support the identification of potential problems before they occur in automation processes. AI can help prevent breakdowns and malfunctions, saving companies time and money. Moreover, AI can predict when maintenance will be required, reducing downtime, and improving overall equipment effectiveness.
Quality Control Improvement
AI-powered/based automation can support us to have a better understanding of consistency and accuracy in manufacturing processes. So, we can have higher quality products.
AI-powered/based machines can take on dangerous or repetitive tasks that would otherwise be hazardous for human workers, such as working in high-temperature environments, handling hazardous materials, or operating heavy machinery. This can reduce the risk of workplace accidents and injuries, improving overall safety in the workplace.
Flexibility increasement can support our quick adaptation to changing circumstances. For example, if a customer changes his/her order’s specifications or a new product is introduced, AI-powered/based machines can adjust their processes to accommodate these changes. This increased flexibility can improve responsiveness and help manufacturers meet changing demands in real-time.
AI-powered/based automation can reduce costs by improving efficiency and reducing waste. Especially, by optimising production processes and reducing downtime, AI can help manufacturers save money on labour costs, energy costs, and materials costs.
AI-powered/based automation can analyse data and generate insights that can help manufacturers make more informed decisions. In addition, by monitoring production processes and identifying trends or patterns, AI can help manufacturers identify areas for improvement or opportunities for growth. By providing actionable insights, it is concludable that AI can help manufacturers make better decisions and improve overall business performance.
Let us close this article with a special focus on the philosophy of automation and its outcomes in AI-based automation systems. Philosophy of automation is centred around the question of whether automation (and, respectively, AI-powered/based automation) is beneficial or detrimental to society. One may argue that it is harmful because it eliminates jobs, disrupts communities, and increases economic inequality. On the other hand, proponents of automation argue that it can increase productivity, can make our lives easier, and can create new job opportunities. In our opinion, (and, respectively, AI-powered/based automation) is a double-edged sword that can bring both benefits and drawbacks. While, as pointed out above, it can increase efficiency and productivity, it can also displace workers and create economic inequality. Therefore, we shall advocate for a proactive approach to manage the impact of AI-powered/based automation on society, ensuring that the benefits outweigh the drawbacks.
Top sum up, the smarter AI becomes, the more advanced but also complex and challenging our new de-globalised world will be. Following this reference, despite the predictions and opinions, only time will show the real impact and human adaptation.