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Abstract
COJ Robotics & Artificial Intelligence
A Short History of Cataract Surgical Training
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Open or CloseJosef Lindegger D*
University College London, Institute of Ophthalmology, London, United Kingdom
*Corresponding author:Josef Lindegger D, University College London, Institute of Ophthalmology, London, United Kingdom
Submission: June 16, 2022;Published: July 11, 2022
Abstract
Machine Learning techniques are powerful in many different domains. For application in sensitive areas where humans are involved, the requirements regarding model understanding are strict. Currently, methods are developed that help understanding and allow drawing conclusions from the observations. Decision plots and counterfactual explanations give information about the model output, the impact of single features can be estimated. This is already a beneficial first step towards model transparency. However, there are no methods yet that use this gained knowledge as a feedback to update the model accordingly in a straight-forward manner.
Keywords: Deep learning; Bias; Fairness; Explainable AI
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