Between trust and control

Why transparency is more important than speed

One of the biggest misconceptions about AI is the belief that it is neutral. However, algorithms are based on training data, which can contain biases or distortions. Anyone who believes that AI is flawless is mistaken. The goal must therefore be to make decisions comprehensible – for example, by disclosing criteria or weightings. Companies should therefore rely on systems that are designed in such a way that processes are transparently visible and documented. In addition, so-called “human in the loop” features then secure the final decision. The AI makes a recommendation – but humans have the final say. This not only creates trust, but also ensures fairness and quality.

Control means taking responsibility

Companies must not relinquish control, especially in sensitive areas such as recruiting. AI is a tool – and when used correctly, it is a real superpower for HR and management. It does not replace people, but it significantly expands their capabilities. However, responsibility for its use also lies precisely there. It is therefore crucial that companies define clear responsibilities, document decision-making processes, and be able to intervene manually if necessary. In the event of incorrect decisions or data processing, there must be options for correction – also to be on the safe side in terms of liability law. Trust can only be established where processes remain transparent, traceable, and correctable.

Take skepticism seriously, highlight potential

In practice, employees are initially skeptical about AI. The idea that a machine is making decisions about people makes many people uncomfortable. Open communication helps here. Explaining where and how AI reduces the workload—for example, by answering frequently asked questions or automatically scheduling appointments—alleviates fears and creates acceptance. Teams will then see that AI does not take away work, but rather creates space for more important tasks. Control remains with the HR team, and communication becomes faster and more reliable – even via channels such as WhatsApp or Microsoft Teams.

Digitalization in the industry must be pragmatic and human

AI offers great potential, especially in the food and beverage industry, where many employees do not have a traditional office workplace and time pressure is high. Today, applications can be initiated via smartphone and chat, relevant information can be retrieved in a matter of minutes and processed directly – even in multiple languages. This not only lowers barriers for applicants, but also speeds up the process enormously.

For example, companies that allow applications via WhatsApp report an 80 percent increase in the number of applicants. This shows that low-threshold, digital processes make all the difference. In addition, AI-supported communication and automation eliminate time-consuming coordination in advance. This allows HR to focus on what matters: getting people excited about work – not bureaucracy.

Looking ahead: AI as a co-pilot – not an autopilot

The future belongs to collaboration between humans and machines. Fully autonomous AI would fail in many human areas, such as empathy, fairness, and diversity. As an intelligent co-pilot, however, it can effectively support HR processes and take them to a new level. In recruiting, AI will play an even greater role in matching and suggestions in the future – for example, through semantic analysis or contextual understanding. Conversations with AI assistants by telephone are also conceivable. Nevertheless, responsibility remains with humans.

Artificial intelligence must not be an opaque black box. Only if it is developed in a comprehensible, ethically sound manner with a clear focus on people can it reach its full potential. This is especially true where trust is the basis of every relationship – in the contact between employers and future employees.