Back to The Future of Work

The positive aspects of AI technology development

When looking at the latest news on AI development, it’s easy to focus on the possible risks it may bring. However, just as important as understanding the threats, is to look at the possible benefits which the development of AI can offer.  

Artificial intelligence (AI) and Machine Learning (ML) can ultimately contribute to creating a better, more inclusive society by having a positive impact on issues connected with gender, disabilities, cultural background, and for example, the knowledge of foreign languages knowledge12. Its broad implementation may cause a shift from focusing on money, consumption, and possession of goods to personal well-being, equality, and self-improvement – an extensive adoption in business and everyday life could lead to a transformation from a capitalist society centered around financial gains, the consumption of goods, and ownership to one that prioritizes individual welfare, fairness, and personal growth. 

The future of work with AI might be more efficient and fulfilling for workers with AI’s ability to take over repetitive tasks such as processing large amounts of data, allowing people to take on more creative roles. It can also minimize the risk of unwanted errors, especially in areas that require precise data accuracy3

AI can improve the world of work  

In terms of employment, the integration of AI holds the promise of a more effective and satisfying work environment for employees. AI has the capacity to shoulder the burden of demanding and monotonous tasks, thereby freeing up people to engage in more imaginative and creative activities. This shift can contribute to a workforce that derives greater satisfaction from their roles as they focus on tasks that truly leverage their unique cognitive and innovative abilities. One of the tasks that AI can take over is the storage, processing, and analysis of large amounts of data. This would allow people to pay more attention towards results of processes as well as better data-driven decisions4

One particular area where AI is beginning to be used is in recruitment. Technologies which are important in this area include natural language processing that improves job descriptions, algorithms which aim vacancies at the right candidates, vision and voice recognition software to carry out automated interviews as well as chat bots that take over much of the standard communication with candidates. AI-driven recruitment could ensure the process is fairer, hiring a more diverse workforce including candidates who might otherwise be overlooked due to factors such as health issues, gaps in employment, no officially recognised qualifications, or a degree from a less well-known university. What is worth underlining is that the transparency in algorithmic decision-making must be ensured, as a lack of it might mean that bias and discrimination are more difficult to detect.5 This positive evolution aligns with the prospect of an enhanced societal landscape where AI augments human potential rather than diminishing or replacing it. As we move forward, AI’s role in the workforce is poised to generate efficiencies while allowing individuals to harness their creativity and expertise, ultimately guiding society towards a more balanced and prosperous future. 

AI can enhance education 

AI’s transformative impact extends beyond the business sphere; it also reaches into our daily lives. The widespread availability and advancement of AI-driven solutions offer an opportunity to expand global access to education. This expansion encompasses not only professional skill enhancement but also personal interests and formal education. For example, numerous applications and language learning courses already leverage AI to provide assistance and improve learning outcomes across various proficiency levels6.  

Furthermore, in the sphere of language, freely accessible online translation tools and text editors, capable of seamlessly handling even scientific publications, now play a significant role. Additionally, AI tools can streamline and clarify textual content, thereby contributing to accessible education for all. By tailoring messages to specific audiences, this approach facilitates efficient knowledge absorption, reduces feelings of exclusion within society, and mitigates the dissemination of misinformation7

AI’s ability to address global climate change issues 

AI possesses the potential to revolutionize our strategies for confronting global challenges. It can provide invaluable support in areas like climate modeling, elevating the precision and efficiency of these models through the rapid and accurate processing of vast datasets. Machine learning algorithms have the capacity to discern hidden patterns within data that may elude human researchers. Moreover, AI can contribute to the development of sustainable renewable energy solutions, enabling the optimization of energy consumption and waste reduction8.  

A particularly promising domain is disaster prediction, where meteorologists and climate scientists harness AI to foresee and mitigate the impact of climate-related natural disasters such as hurricanes, floods, and wildfires. With AI’s assistance, scientists can analyze extensive data sets with increasing accuracy, identifying trends that signal impending disasters. This, in turn, allows for the deployment of early warning systems aimed at minimizing the loss of life and property in the face of these natural calamities. 

A HCAI Approach as the baseline for proper development  

There are some basic principles that must be implemented for this to happen. One of these is HCAI – Human Centered Artificial Intelligence approach, which puts humanity, its existence and wellbeing at the forefront of AI development9. For AI to support transparency, equality, and democracy in the future, people must lead the discussion today and act quickly by putting proper laws and policies in place.  


For the latest insights, data and advice on AI and its possible applications, pre-order your free copy of the NEW Future of Work Report today.


Sources: 

1Forbes

2World Economic Forum

3ThinkML

4The Royal Society

5Organisation for Economic Co-operation and Development 

6The Conversation

7Stanford University

8Bernard Marr & Co. Bernardmarr

9Forbes

Your future digital workforce is here and now.

Request a Demo