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AI Bias in Healthtech

By Ellie Passmore

Artificial Intelligence (AI) has revolutionized the healthcare industry, offering a wide range of benefits such as improved diagnostics, personalized treatment plans, and efficient resource allocation. However, the increasing use of AI in healthcare also brings forth a concerning issue - bias. AI bias refers to the systematic errors and unfairness in AI algorithms that can lead to unequal treatment and discrimination in healthcare. We took a closer look at where we've been and address how we can do better.

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Work with us to assess your AI readiness and score any products you've built to uncover potential issues related to privacy, bias, exclusion, safety, inequity, and diversity. Gain valuable insights and honest feedback about your overall approach, business strategies, and team dynamics.

We've created an inclusive design framework

More than 10 years ago, we were founded as a UX firm with a mission to help the world stay inclusive and human. We carry that same mission into our AI work, designing and building a digital future that is safe, inclusive, and unbiased.

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We help companies tackle privacy, bias, trust, safety, and inclusion in the design of AI, intranets, and digital products to deliver intuitive, valuable technologies that empower users while safeguarding and advancing the human experience.

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