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Distrust isn't just an AI problem




A study suggests that a 1% increase in trust can lead to a 2% growth in revenue. There are several ways to build trust within an organization:

Strong relationships between people, data, and analytical processes. Unfortunately, current trust levels seem low across various aspects of organizations, as indicated by the fact that only 5% of professionals trust HR for well-being.


Employee trust in leadership is crucial. Even more important is trust in line managers. Interestingly, a study by Pew Charitable Trusts found that 92% of workers prioritize psychological and work stability over financial gain.

Data and analytics can play a role in rebuilding trust. A study by Oracle and FutureWorkplace found that 64% of employees have more trust in a robot than their boss!

Focus on improving data quality and communication to rebuild trust in leadership and data analysis. Even without AI models powering a system only 10% of employees are confident in data quality and just 16% trust the accuracy of models and processes, according to a KPMG study.

In conclusion, building trust across all levels of an organization is key to success. While AI and data-powered decisions can be helpful, organizations must also focus on improving data quality and communication to rebuild trust in leadership and data analysis.

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