AI makes mistakes (even when it works well), is costly to protoype, and requires interdisciplinary collaboration. How to overcome all this, along with the many problems that can come along the way?
There is a proven methodology that helps you overcome these issues and help organizations build user-centered and ethically responsible AI systems: the HAX Toolkit (Human-AI eXperience Toolkit), a set of tools developed by Microsoft Research.
It consists of four tools designed to guide teams into how systems should behave when interacting with users, generating test scenarios on predictable failures, and providing possible solutions. For this, the toolkit identifies four key moments that are crucial in every AI solution development.
But, although it its a proven and validated methdology, it is also confusing and the information can be overwhelming. That is why we have prepared a quick guide to understand it, and we can help you implement it directly on your AI project.