Barriers are continually dissolving when it comes to the capabilities of machine learning programs. As an experience strategy and design professional, I find myself asking more frequently, "Are there relevant design principles I should consider when creating these new types of digital experiences?" Many of these platforms have an opacity that can affect the overall user experience in a variety of ways. In this blog post, I'll suggest guidelines for constructing AI-enhanced experiences, and apply them to examples in the healthcare, consumer, and financial sectors. The principles I cover may not apply uniformly to all digital experiences, since other factors might predominate.

Barriers are continually dissolving when it comes to the capabilities of machine learning programs. As an experience strategy and design professional, I find myself asking more frequently, "Are there relevant design principles I should consider when creating these new types of digital experiences?" Many of these platforms have an opacity that can affect the overall user experience in a variety of ways. In this blog post, I'll suggest guidelines for constructing AI-enhanced experiences, and apply them to examples in the healthcare, consumer, and financial sectors. The principles I cover may not apply uniformly to all digital experiences, since other factors might predominate.