AI models play increasingly critical roles in decision-making across industries. However, biased AI systems can amplify unfair treatment of citizen groups. Addressing this issue is crucial for fairer outcomes. We introduce Zuhlke’s Bias Framework, which provides a comprehensive view of bias and uncertainty of AI outcomes.
Our Bias Framework allows developers to test many sources of bias to understand their impacts. It evaluates bias and performance with interactive visualisations, guiding users to find good solutions. This tool facilitates transparent and auditable decision-making and helps businesses access previously excluded markets and produce more ethical outcomes.
By promoting repeatable processes to complement manual checklists, our framework sets a new standard in ethical AI development. Join us to explore how our approach can help businesses achieve fairness and transparency in AI decision-making, fostering a more equitable future.
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