Designing for AI: Trust


At IBM, we're building software solutions that help our users make smarter decisions faster. In the world of data and artificial intelligence (AI), it all comes down to designing products our users can trust enough to help them make those important decisions. This focus on trust goes beyond data security and validation, it's about helping our users understand their data, providing relevant recommendations when they need it, and empowering them to create solutions they can be confident in. As we designed our end to end AI platform IBM Cloud Pak for Data, as well as a diverse set of AI offerings and solutions in our IBM Watson portfolio, we focused on the following 8 principles for establishing trust within AI experiences. At IBM, we believe that good design does not sacrifice transparency and that imperceptible AI is not ethical AI.

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