Businesses

AI and human capital: an Italian perspective within a European context

In Copenhagen, a debate organised by CEC European Managers: responsibility and leadership must remain human

5' min read

Translated by AI
Versione italiana

Key points

  • The European AI MANAGE project
  • AI is already a reality in businesses
  • Ethics and leadership remain human

5' min read

Translated by AI
Versione italiana

(Il Sole 24 Ore Radiocor) - Ethics, respect for the individual and human choice – principles that must be safeguarded amidst the rapid development of artificial intelligence, a point also emphasised in recent days by the President of the Republic, Sergio Mattarella – are already in the spotlight for European companies and the managers responsible for running them. Artificial intelligence is, in fact, already rapidly finding its way into corporate decision-making processes, and this is an irreversible trend. The question is not whether it will be used, but how to govern its use, particularly when the recommendations produced by AI systems can affect work, career opportunities and people. This topic was among those at the heart of the two-day discussion in Copenhagen, which brought together representatives of European managerial organisations, experts and professionals from various countries as part of the launch of the European AI MANAGE project, promoted by CEC European Managers, the European organisation that brings together and represents national managerial associations and federations. The project is dedicated to the responsible use of artificial intelligence in managerial work and in organisations’ decision-making processes.

Among the participants was Luigi Severini, a manager with extensive experience in organisation and human resources, president of Federmanager Calabria, a board member of 4.Manager – a company focused on corporate culture – and founder and CEO of OpereAI, an Italian start-up that develops artificial intelligence solutions for HR processes. ‘It’s been two intense days, full of discussion and inspiration,’ he says, ‘which have allowed me to compare my managerial and entrepreneurial experience with perspectives from various European countries. This has reinforced my conviction: the real challenge is not to slow down the adoption of AI, but to learn how to manage it without undermining the role and responsibility of decision-makers.”

Loading...

Not all decisions carry the same weight

The premise is that one cannot generalise, and not all uses of AI carry the same level of risk. ‘Using a system to support the approval of a minor expense is not the same as using it to select a person, assess their performance or affect their career prospects,’ explains Severini. Two factors can help distinguish between these scenarios: the impact of the decision on individuals and its reversibility. The more significant the consequences of a decision and the more difficult it is to rectify, the greater the level of human verification, judgement and supervision should be.”

Recruitment is perhaps the most obvious example. Artificial intelligence can analyse large numbers of CVs, identify skills, compare professional experience, support assessment processes and help draw up shortlists. To forego these capabilities would mean foregoing a significant part of the value that technology can offer. ‘The critical point, however, comes in the next step: it is one thing for a system to highlight characteristics, similarities or differences between profiles; it is quite another to let it automatically determine who should be hired and who should be excluded.’ It is here that the ‘human’ role of the manager takes on its true form and substance.

Human presence must not be merely a formality

During the debate on Responsible AI at the Copenhagen meeting, terms such as ‘human-in-the-loop’, ‘human oversight’ and ‘human agency’ were mentioned. ‘But the mere formal presence of a person within the decision-making process does not, in itself, guarantee the responsible use of artificial intelligence,’ continues the CEO of OpereAI. ‘The crucial question is another: does the person making the decision really have the opportunity to understand, challenge and override the system’s recommendation?’

The key lies in the distinctly human capacity for free will and choice. Artificial intelligence analyses and evaluates matters quickly and cost-effectively, but the manager retains the ability to decide otherwise. And this is where leadership comes into play. ‘It should never be acceptable to justify an important decision for a person by simply saying: ‘the algorithm decided it’. AI can produce analyses and recommendations. The responsibility for the decision remains with management,” Severini emphasises. “Leadership also means knowing how to balance efficiency, financial results, organisational sustainability, fairness and the impact on people.”

On the other hand, the relationship between technology and human decision-making should, according to the views that emerged from the European-level debate, be one of partnership rather than conflict. ‘The issue is not a choice between man and machine. It is a matter of establishing clearly what can be entrusted to technology and what must remain under human responsibility.’

Mistakes to avoid

How can this objective be achieved? “The first mistake is to view the adoption of artificial intelligence as merely a technological project. It is, in fact, a process of organisational transformation: tools, processes and skills change, and, inevitably, so does the way in which managers and staff make decisions and interact,” the manager goes on to explain.

The second is to assume that it is enough simply to introduce technologically advanced tools without properly training those who will be using them. The third is to use systems that affect workers without clearly explaining why they are being introduced, what data they use, and what role the individual plays in the decision-making process.

“If artificial intelligence is perceived primarily as a tool for surveillance, control or staff reductions, it is to be expected that it will meet with resistance,” says Severini. “If, on the other hand, it is used to reduce repetitive tasks, improve the quality of information and support professional development, it can help to build trust and engagement.” That is why one of the most significant challenges in the coming years will be the development of managers’ skills, which must go hand in hand with technological development. Knowing how to use a generative system or write a good prompt is only part of the picture. Critical thinking, the ability to interpret data, an understanding of risks, attention to privacy and bias, the ability to communicate with staff and, above all, a willingness to take responsibility for decisions will be required. “This is also a central theme for 4.Manager, for whom digital transformation is not merely a technological issue, but also one of organisational culture, governance and leadership.”

Loading...

“We need to train managers to use artificial intelligence, but also to question it. A key skill will be understanding not only how to use AI, but when not to follow its recommendations and, in some cases, when not to use it at all,” continues the CEO of OpereAI. “This is probably one of the key factors that will determine the quality of the transformation currently underway. Rapidly scaling up technologies without simultaneously developing the organisation’s capacity to understand and manage them risks, in fact, amplifying errors rather than reducing them.”

What emerged from the two-day discussion in Copenhagen was the European approach: “data informs decisions, AI supports decisions, leaders decide”. In other words: data informs decisions, artificial intelligence supports them, but decision-making and responsibility must continue to lie with people.

Copyright reserved ©
Loading...

Brand connect

Loading...

Newsletter

Notizie e approfondimenti sugli avvenimenti politici, economici e finanziari.

Iscriviti