Back in the 1980s, filmmakers spectacularly demonstrated that artificial intelligence (AI) can be a two-sided thing. Back then, however, it was a functional instance of artificial intelligence that was even accessible to the general public, devoid of any reality. Now, four decades later, AI is the hype topic par excellence. And there is no doubt that AI has enormous potential to drive technological developments forward in a way that even now, on the threshold of the AI age, we can hardly imagine in its entirety. According to recent statistics, over 60 percent of companies believe that AI could increase productivity. Nevertheless, AI is a topic of great controversy and concern. However, it is also clear that the genie is out of the bottle.
Is there a future without AI for companies?
In this context, a survey by Geonode revealed some interesting figures. According to this, an astonishing 18 percent of the companies surveyed are planning to banish AI from their operations altogether. Regardless of whether this is actually possible in the long term without significantly weakening the competitiveness of your own company, the question arises as to why part of the corporate world refuses to introduce a tool that stands for progress and efficiency like no other. The Geonode team provides rationally comprehensible reasons for this.
Ethical and data protection concerns
The most important reason for the growing skepticism towards AI in parts of the population and companies revolves around ethical and data protection issues. The idea behind AI is that it brings with it the potential for autonomous improvements and optimizations. As a result, AI increases data protection risks and ethical dilemmas. According to the Harvard Business Review, the better an AI system gets at processing and interpreting data, the more difficult it will be to manage consumer data ethically using such systems.
Threat of job losses in many sectors
The potential loss of jobs is another argument put forward for rejecting AI. Automation and intelligent technology have already taken over human jobs in many sectors. The World Economic Forum estimates that 85 million jobs will be lost to automation and AI by 2025.
High implementation complexity
Although AI holds great promise, it is still a complex area that requires specific expertise for successful implementation and, above all, reliability of results. In particular, the requirement to guarantee reliable results is often underestimated. It is to be expected that more than three quarters of current AI projects will deliver incorrect results due to biases in the data, algorithms or the teams responsible for managing them. These would be disastrous results, especially if the errors are not detected. The nature of this problem and the risks associated with its adoption may cause organizations to remain cautious about widespread adoption of AI technologies.
High operating costs
Although the benefits of AI in improving efficiency and saving costs in the medium term are enormous, the upfront costs of integrating AI systems can be quite high for many companies. For SMEs in particular, this raises the question of whether these costs exceed the expected benefits.
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Source reference: Some of the information in this article comes from geonode.com
You can read the full article in the October issue of Surface Technology magazine or shortly online here at oberflaeche.de