This conversation explores the high failure rate of AI adoption in businesses, highlighting that technical quality is less important than human trust. They identify a trust paradox where employees’ rational evaluations often clash with their emotional anxieties, leading to behaviors like withdrawing or manipulating data. These defensive actions create a vicious cycle where poor data quality degrades the AI's performance, further destroying confidence in the system. To succeed, organizations must move beyond simple training and prioritize psychological safety and ethical governance. The text concludes that a healthy organizational culture is not enough; leaders must specifically manage both the logic and the feelings behind how workers interact with invisible algorithms.
See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.
See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.
Powered by the WRKdefined Podcast Network.
Sponsors
