NIX Solutions: Using AI for Decision Making Requires More Effort but Improves Accuracy

Researchers at the European School of Management and Technology in Berlin analyzed the use of AI in the workplace as a decision-making aid. They found that using predictive AI based on machine learning can improve the accuracy of decisions made.

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Additional cognitive effort when using AI

However, the study also showed that when working with a computer system, people have to put more cognitive effort into making decisions. They must evaluate their own information and compare the AI’s recommendations with their own findings. This can be especially difficult in times of limited time.

Limitations of AI use and human cognition

Machines have incredible processing power and can perform certain tasks with great precision. However, decision makers have flexibility and adaptability, which complements AI skills. It is important to understand that the use of AI is not always effective, especially when dealing with low-probability events, notes NIX Solutions.

A study in the journal Management Science highlights that the use of predictive AI based on machine learning can improve the accuracy of decisions made. However, employees must be prepared to put in extra cognitive effort and evaluate information provided by AI. The adoption of machines requires attention to context and a conscious approach to using AI at work.