Learning — and applying — how to be aware of the needs of diverse groups has more value than ever before. Understanding how to design and program for inclusive and diverse thinking without bias means intelligent systems need to have a progressive learning ability (e.g., machine learning and digital feedback loops), as well as mission-critical capacities that mean they can safely and securely function around humans who may look, sound, move, or think differently from those whom the machines have been designed or operated around.

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