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Artificial Intelligence (AI) is no longer a technology of the future, but a reality of the present. Yet, many organisations are encountering resistance and fears from staff about implementing AI. How can these barriers be overcome and AI used to increase efficiency?

Boróka Erdélyi and Ádám Balog, organisational development consultants at Flow Consulting, published this article on HR Portal (in Hungarian).

Resistance to AI can take many forms, from distrust of technological innovation, to fear of losing job security, to the stress of change. To identify and understand the sources of resistance, it is necessary to understand the psychological and cultural factors that influence attitudes towards AI, and then to apply specific techniques to overcome resistance.

Fears and scepticism are not new – as AI has evolved over the past decades, it has raised new ethical questions. The use of AI can have serious social and economic implications, which is why understanding the ethical aspects is essential to a responsible and considered approach to the use of the technology.

Practical applications, opportunities and benefits of AI

Artificial intelligence can be used effectively in many everyday workflows, whether it’s data management, customer service or even optimising production processes. A series of concrete examples and case studies illustrate that AI is not just an abstract concept, but a tangible tool to increase efficiency and drive innovation.

Harnessing the potential of AI can provide organisations with a fundamental competitive advantage. It can help companies to make faster and more accurate decisions, provide personalised services to their customers and penetrate new markets. By integrating AI into organisational strategy, employees can be encouraged to adopt a positive attitude towards technological innovation.

Organisational development, learning and change management

However, AI is not only a means to increase efficiency, it can also be a driver for organisational development. AI-based systems enable the continuous training and development of staff, using state-of-the-art technology. Participants will learn how AI can be used to support internal communication and teamwork, and how the technology can be used to improve organisational efficiency and innovation.

The introduction of AI can bring major changes to organisations and it is important that these changes are managed appropriately.

Here are some aspects to consider when integrating AI:

  • Organisational culture and change management: the introduction of AI may create new work processes and roles, which will require changes in organisational culture. It is important that management supports these changes and helps employees adapt through appropriate communication and training programmes.
  • Training and development: before and during the introduction of AI, it is important to train employees appropriately. This can include learning how to use new technologies and training employees to work with AI. Learning new skills will increase worker productivity and reduce resistance.
  • Technology, infrastructure: this includes software, hardware, data management systems and security solutions. Without infrastructure development, AI cannot achieve the desired efficiency.
  • Ethical and legal issues: the use of AI raises a number of ethical and legal issues, such as privacy, transparency and decision-making. Organisations need to ensure that their AI systems comply with relevant regulations and operate in an ethical manner.
  • Changes in the labour market: the introduction of AI may bring changes to the labour market, for example through the automation of certain jobs. It is important that organisations pay attention to retraining the workforce and developing new roles to minimise negative social impacts.
  • Strategic planning: organisations need to set long-term goals and ensure that the integration of AI fits in with their business strategy. AI offers the opportunity to innovate and gain competitive advantage if properly planned and implemented.

Implementing AI is therefore a complex process that requires thorough preparation and ongoing management. Successful integration requires the involvement and support of all levels of the organisation.

This will be discussed in more detail at the Training Roundtable Conference on 2 October:
Boróka Erdélyi and Ádám Balog will present at 9:30 am.