Working with AI

 

Acceptance of AI advice in decision making

Working with AI
 
 

In recent years, triggered by technological advances, artificial intelligence (AI) has been increasingly adopted by firms and professionals to improve their performance through better organizational decision-making processes. Today, AI technology is already being used across various work domains, such as for hiring suitable talents, conducting financial transactions, diagnosing patients, predicting technological trends, or tracking criminal activities. In doing so, AI supports human decision-making by providing algorithmically generated information along with a subsequent recommendation to a decision maker, creating a new form of hybrid intelligence between humans and machines. The main reason for the increasing use of AI in decision-making lies in the tremendous performance of AI, which even exceeds the accuracy of human experts.

To fully realize the benefits of the technology, the knowledge generated by the AI must be accepted by the employee. Here, individual attitudes toward AI play a significant role. They determine the way in which employees interact with the new technology. Thus, positive attitudes can lead to an increased willingness to accept AI-generated knowledge and suggestions. However, because the introduction of a new technology is usually associated with large uncertainties, such as the accuracy and reliability of AI advice, employees are often unwilling to give up their existing competencies and control. Particularly in the case of quality and stability-oriented industries, employees with specific skills may find that their expertise acquired over the years leads them to rely only on their own actions, which makes them resistant to outside suggestions for improvement. The rejection or inadequate adoption of the AI proposal is the result. To avoid that, it is necessary to understand how and why individuals in work environments behave towards AI advise and which strategies help to promote the knowledge transfer between humans and AI. Since scientific knowledge in this research area is still limited, our project aims to investigate to what extent AI advice is accepted in production-related decision-making and what role attitudes towards AI play on actual behavior. Through our experimental research, we want not only to gain valuable scientific insights in the field of hybrid intelligence, but also to provide evidence for the successful acceptance of AI technologies in companies.