What to do when your employees are hiding their AI use

In recent conversations with industry leaders, concerns have been raised about the growing use of unapproved AI tools in the workplace, known as "shadow AI." These tools pose security risks, with 43% of organizations experiencing data breaches involving shadow AI, up from 20% the previous year. This issue is not simply an employee problem, but a leadership one that signals a company's desire to innovate faster than it allows.

Shadow AI is a sign that your business is missing out on better solutions, and it often arises when organizations rush to standardize their AI approach too early. Instead of punishing employees who use shadow AI, leaders should embrace it as an opportunity for innovation. IBM's "AI Amnesty Month" encourages employees to share unapproved tools without fear of punishment, allowing the company to evaluate and implement the most effective ones securely.

Building a culture of responsible AI experimentation involves encouraging employees to seek out new tools, coordinating with IT for approved testing pathways, creating sandbox systems for safe experimentation, and providing time and training for responsible use. Ultimately, the goal is to create a culture where employees feel empowered to use AI, improving efficiency and fostering innovation.