Since the Industrial Revolution, the most significant social and economic shifts have been driven by digitalization and the new technical possibilities that artificial intelligence (AI) delivers. These are linked to both opportunities and dangers. There is a risk of uncontrolled development and a detrimental impact on AI if the necessary political, economic, and ethical framework conditions are not in place.
In the end, AI has a significant impact on all industries, to varying degrees. Artificial intelligence such as machine learning (ML), may be employed in various applications. First and foremost, AI will be increasingly used in sectors requiring the analysis and evaluation of massive volumes of data. Artificial intelligence systems are more qualified than humans to analyze large volumes of data, connect it with numerous reference points, and form a superior decision-making foundation.
Artificial intelligence has already infiltrated many aspects of our professional and personal life, and Alexa and Siri are already well-known examples of this. Machines are now capable of accomplishing astonishing things with facial and speech recognition thanks to sophisticated algorithms. Many systems can do better than humans, with error rates of less than 5%. Computers are now significantly better than humans in picture recognition, also utilized on Facebook and in self-driving cars.
Online shops and search engines, for example, utilize machine learning to improve user experience and make purchasing suggestions. In summary, AI and machine learning are now established – and widely accepted – aspects of our daily lives.
When it comes to our working surroundings, AI, machine learning, and digitalization have a considerable influence since they transform or expand the human activity spectrum. As a result, the job profiles of workers and the tasks they are expected to do will alter dramatically. The manufacturing industry, for example, is an example of a sector that is more reliant on machines and robots.
When it comes to the employment of AI, there are two main threat categories: risks related to society and humans and risks related to technological reliance. Many people are concerned about machines and artificial intelligence taking over human tasks. This isn’t only about catastrophic worries and Terminator-like situations, which Tesla CEO Elon Musk has mentioned several times, but also about more basic existential fears.
People wonder, for example, how they will fit into the digital future when intelligent machines take over their jobs. Do they still possess the necessary abilities? The older generation, in particular, is skeptical of technological advancements and the growing usage of smart gadgets.
However, it is essential to keep in mind that the world of work will undoubtedly change. Jobs that are necessary now may become obsolete in a few decades. Currently, the influence of AI is creating a high need for data scientists and engineers, but robots may be able to accomplish these tasks better and quicker in a few years.
Because of technology advancements and societal issues, it is critical to launching socio-political efforts to create and execute technological opportunities and educational and digital policies. Without an idea, Britain’s worldwide competitiveness will suffer. The second type of danger tackles the question of “How much decision-making authority should we give robots and AI?”
There’s a danger of being too reliant on a machine or algorithm and being unable to duplicate its results. Because of their lack of communication skills and the complexity of their “thinking processes,” neural networks, which contain millions of connections and interactions, make judgments that they cannot fully explain. Machines are not emphatic narrators; they know more than they tell us and do not comprehend our information requirements.
In any case, we will eventually have to rely on information from machines in some critical areas and rapid decision-making processes – for example, the decision that a nuclear power plant must be shut down immediately because the complex trains of thought involved in such events cannot be traced and understood quickly enough by humans. It is also sometimes disregarded that even machines may develop preconceptions based on prior knowledge.
A recruiting system, for example, may assist in the selection of ideal individuals by reviewing thousands of previous corporate choices. If a recruiter has favored males over women for whatever reason, the computer inherits this “prejudice” and incorporates it into the algorithm. Furthermore, AI systems that generate their successors without human input exist today, such as Google’s AutoML project. The influence of artificial intelligence may result in a dynamic that is no longer controllable, which is quite concerning. It also emphasizes the critical importance of a moral and ethical framework.
In general, industry and society are still in the early stages of the AI and machine learning transformation. New opportunities will spark innovation and fresh ideas. We will observe errors, as well as surprising victories. However, one thing must be kept in mind: AI’s consequences are grave. According to the World Economic Forum, humanity is on the verge of the fourth industrial revolution, with social, economic, and societal ramifications. As a result, politics, and industry must collaborate – now and in the future – to establish the right framework conditions that will chart the way for future generations.
So, if you wish to integrate AI in the workplace, contact the ONPASSIVE team.