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How to ensure adoption for your AI product

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?

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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.

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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.

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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.

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What you'll get from this resource

- A first practical overview, in an accessible language, made to help you grasp the fundamentals of Microsoft's HAX methodology

- Your first steps to understand this framework in order to start applying it.

- A sense of the fundamentals of a human-centered AI approach, and why this is necessary to ensure adoption.

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Who is this designed for?

Our free guide is made for teams working in AI products and struggling to secure adoption, and for companies in early stages of developing AI initiatives that want to be prepared and do things right for the beginning.

If you are in a more advanced stage of your AI initiative, we recommend our HAX workshop, that will accompany you and tailor the framework to your specific context.

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If this sounds like something your team needs, download our free resource and start the road towards your human-centered AI solution!