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AI bias and transparency - a case study
By the end of this course you will be aware of the following encountered by theBritish Institute of Radiology
Overview and examples of bias - Victor Zuanazzi
In this talk, Victor Zuanazzi, Machine Learning Scientist at Aidence, defines biasin artificial intelligence and explains how it differs from our understanding of bias in society. He outlines the concept of variance, an essential component when discussing bias in AI, then provides examples of bias and variance from news and literature. In the second half of the course, Victor looks at the possible ways in which bias can manifest during the development of an AI medical device, and outlines corresponding mitigation methods.
0:00 - 17:57
This resource maps to capability ID 6.6.0.4.65 of domain 6 of the Artificial Intelligence (AI) and Digital Healthcare Technologies Capability Framework
Additional information
This is a case studies from the British Institute of Radiology
Resource details
| Contributed by: | Artificial intelligence beyond the basics |
| Authored by: |
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| Licence: | More information on licences |
| First contributed: | 19 September 2024 |
| Audience access level: | General user |
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