Opinion Piece
3 min

Advancing AI: What will happen to Human Resources in Mining?

AN EXCLUSIVE INTERVIEW WITH:
NOVEMBER 2024
Buenos Aires, Argentina
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28-30 MAY
Buenos Aires, Argentina
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Advancing AI: What will happen to Human Resources in Mining?

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Artificial Intelligence is undoubtedly advancing by leaps and bounds in all aspects of daily life and in our jobs. At this juncture, one of the biggest questions is whether AI will replace people and displace human resources.

Inevitably, workers will have to adapt to the advances in technology, communication and connectivity that are changing work processes and ways of working.

This will bring about task automation, improved process efficiency and will benefit decision making through data analysis.

In this case, mining activity will benefit from the characteristics and locations in which it takes place, where it is vital to make decisions in a short period of time.

Although we are already seeing plenty of examples of what can be done with the implementation of AI in various sectors, it is also clear that in no way can human talent be replaced.

In these new scenarios, HR departments will continue to be responsible for strategic decision-making and key issues.

The efficiency, accuracy and personalisation of departments will improve, but the human role in talent management in companies will never be replaced.

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How it will help

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That said, it is worth clarifying that AI will be an important tool that will help HR teams to advance recruitment and selection times, as well as facilitating the customisation of training according to the needs of each employee, the optimisation of the management of the performance evaluation process and the performance of teams.

How many people make use of Artificial Intelligence in their professional activity?

A study by Future Workplace AI@Work and Oracle called "From Fear to Enthusiasm: The Future of HR" says that 50% of employees do, which is a significant increase from 32% last year.

The integration of Big Data, artificial intelligence and predictive technology into the business value chain has transformed companies' previous approaches in many areas.

This set of technologies makes it possible to analyse large volumes of data, make strategic decisions, automate tasks, personalise experiences or anticipate trends.

In other words, these innovations have given rise to a new way of understanding business, based on the use of data and the intelligent use of technology.

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