From the course: Using AI for UX Design and Research
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The risks of biases when using AI in UX projects
From the course: Using AI for UX Design and Research
The risks of biases when using AI in UX projects
- Easily identifying issues and patterns across a large amount of data is possible, which can simplify a routine task and offer predictions, but these tools are still in early development stages and don't always match facial recognition and error detection accurately. I encourage you to use your foundation in human-centered design to uncover discoveries and critique AI tools. You can improve the tools and reduce the potential harm of their inaccuracies. To help you, I provided a template available in the course materials that you can use as a reference. I want you to be mindful of the risk posed with AI tools. According to Dr. Joy Buolamwini in the "Coded Bias" documentary, some algorithms cannot detect dark-skinned faces or classify women with accuracy, which led to the realization that machine learning algorithms are not free from prejudice, which Buolamwini coined the coded gaze. AI algorithms are only as unbiased as the humans and training data that programs them. In Dr…
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The risks of biases when using AI in UX projects5m 37s
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Security, privacy, and copyright risks of using AI in UX projects6m 26s
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Strategies for creating AI UX guardrails4m 7s
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Developing AI strategies for consultants, small businesses, and enterprises2m 13s
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Create an AI code of conduct for UX teams1m 36s
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