What is the primary purpose of gradual implementation in AI systems?

The primary purpose of gradual implementation in AI systems is to allow users to familiarize themselves with the new system. This approach is designed to ease the transition from existing practices to the new technology by providing users with the opportunity to adapt to changes incrementally. By implementing the system gradually, users can learn its features and functionalities at a comfortable pace, reducing the risk of confusion and enhancing overall user competence with the new tools.

Additionally, gradual implementation helps to identify and address any issues that may arise during the rollout of the system, making it easier to integrate feedback and adjustments based on real-world usage. This not only benefits the users by enhancing their confidence and proficiency but also contributes to the smoother functioning of the organization as a whole.

While preventing system failures and decreasing user resistance to change are important considerations, they are more accurately seen as secondary benefits that arise from a well-executed gradual implementation strategy. The primary focus remains on ensuring that users are adequately prepared and comfortable with the new AI system, which ultimately leads to better outcomes for both the individuals and the organization.