HUMANS HAVE TRUST ISSUES - For humans, trust is the firm belief in the reliability and truth of someone or something. People are reluctant to believe in the reliability and truth of AI. Dependence on the new and advanced technology seems risky without an extensive record of historical data confirming its accuracy.  There are certain key factors that are crucial to gaining trust in artificial intelligence. One of these key factors is performance, meaning that the AI application operates as it is designed to. Humans need to have a strong understanding of the technology’s functionality, and the companies designing AI machines need to communicate its purpose clearly with customers. For corporations, one of the most important factors in 

building AI technology trust is carefully defining the balance between human control and machine autonomy for effective collaboration.

Companies interested in getting employees to trust a new AI-enabled application must be proactive and open with communication in the early stages of introduction. To build trustworthiness, employees need to know the implications and credibility of the machine. Case studies have proven that reducing the perceived risk of AI capable machines for employees will result in a higher likelihood of adoption and collaboration.

WHAT CAN BE DONE - Introducing advanced innovations like artificial intelligence can be tricky for fostering trust. Case studies have proven that a gradual introduction of AI applications leads to effective social learning amongst employees. Companies should be aware of stakeholder alignment with the application, transparency about the development process, and the balance between control and autonomy. Humans typically trust things that behave or operate as expected. So, for artificial intelligence, trust will be established after a system of best practices that can help guide ethical and safe management of the AI programs.

A STRATEGIC RECOMMENDATION - Bainbridge understands the  gap that is forming between businesses and advanced technology. As the digital age continues, companies are realizing a need for the latest technology in order to compete with other agile digital start-ups operating in the market. 


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