In some of our previous APEX of Innovation posts, we’ve discussed the myriad ways in which AI is driving change across sectors. In a recent ZDNet article, Joe McKendrick explored an emerging challenge related to this increased AI adoption—namely, how to ensure people come first in any and all AI projects. 

The experts McKendrick spoke with offered numerous suggestions for building a people-centric AI-driven culture, including: 

Extend AI Ownership and Responsibility Beyond IT 

If you want to get your employees comfortable with AI, you first need to make sure it’s truly an enterprise-wide initiative. The technology ownership and responsibility must extend beyond just the technical side to include the business stakeholders responsible for change management, training and education, adoption, and AI best practices. 

Focus AI on Areas Where It’s Most Impactful 

Getting an efficient return on an AI project gives employees an appreciation for the technology, so it follows that targeting areas ripe for a “quick win” is a good strategy for increasing AI comfort. In order to be most effective with minimal resources, AI needs a reliable source of clean, rich data, so be sure to start in areas with good operational record-keeping that won’t require significant scrubbing and cleaning. 

Ensure Fairness Through Greater Transparency 

AI results must be as fair and bias-free as possible to engender acceptance and support from the broader enterprise. This is a complex area that is continuing to evolve, and some companies simply may not be ready to address AI fairness if they are in the early stages of deployment. However, as the technology matures and adoption accelerates, this is an essential consideration—you can read more about what organizations can do to encourage responsible AI here

Investigate and Push for the Most Impactful Technologies 

Another best practice is prioritizing projects with plentiful data to train and fuel the models, such as pricing optimization, predictive maintenance, and conversational AI. In addition, deploying these technologies typically doesn’t require a major change to business operations, making employees more likely to accept and embrace them.

Head over to ZDNet for more on the above and other strategies for ensuring your employees get—and stay—on board with AI in your organization.