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Biased by Design is a free resource in the design category that examines how design choices contribute to algorithmic bias in systems like AI tools and interfaces. It focuses on the role of designers in embedding or mitigating bias through structural decisions, such as interaction flows, metrics, and output presentations. Biased by Design fits into the design workflow during the planning and auditing phases, where teams assess potential fairness issues before deployment.
Biased by Design serves designers, product managers, and AI developers working on systems with societal impacts, such as hiring platforms or recommendation engines. It suits teams at any experience level conducting ethical reviews, particularly those addressing indirect discrimination in assessments or feedback loops from skewed data. Employers implementing AI in workplaces can use it to assess bias risks and train staff on equality obligations. Visit Biased by Design
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