What is Algorithmic Bias?
Algorithmic bias, the unfair tendency of the algorithm.
In terms of data and intelligence
Algorithmic bias is related to the approach of transforming data into insights and decision support in artificial intelligence supported health processes. The goal is not to make decisions on behalf of humans, but to make the right data visible at the right time.
Practical framework
AI-based concepts provide prediction and decision support by uncovering patterns in data; they do not replace the decision.
Why is it important?
When addressed correctly, algorithmic bias contributes to teams working with fewer errors and faster; it allows management to make decisions based on more solid data.
To see this concept in context, you can check the AI Supported Hospital Management guide, and return to the Digital Dictionary page for other terms.
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What is algorithmic bias?
The unfair tendency of the algorithm.
How is algorithmic bias used in AI-supported processes?
Algorithmic bias plays a role in transforming clinical and operational data into insights; it does not make the decision but supports the decision of the relevant teams.
Under which title is algorithmic bias evaluated?
Algorithmic bias is addressed under the title of Artificial Intelligence in the context of health information systems and digital transformation.