

To have high confidence in a qualified tool, we should be able to detect its potential errors with a high probability. This condition is commonplace within safety standards, but what does high probability mean in practice? In this short question episode Dr. Oscar Slotosch explains how high probability of error detection should — or shouldn’t — be measured and how we can achieve it in tool qualification.
If you would like to learn more about the role of confidence in tool qualification, listen to our Episode 19: Confidence, to learn about responsible argumentation practices, join us in Episode 14: Qualification Documents, and for more short question episodes, tune in to Question 03: How can we detect whether we are using a qualified tool? or Question 06: Why is it called tool validation?
Your producer and friendly representative of the audience in this episode has been Ivana Kurecic.
We can be reached through podcast@validas.de and all information about Validas can be found on our website, validas.de.
70 قسمت
To have high confidence in a qualified tool, we should be able to detect its potential errors with a high probability. This condition is commonplace within safety standards, but what does high probability mean in practice? In this short question episode Dr. Oscar Slotosch explains how high probability of error detection should — or shouldn’t — be measured and how we can achieve it in tool qualification.
If you would like to learn more about the role of confidence in tool qualification, listen to our Episode 19: Confidence, to learn about responsible argumentation practices, join us in Episode 14: Qualification Documents, and for more short question episodes, tune in to Question 03: How can we detect whether we are using a qualified tool? or Question 06: Why is it called tool validation?
Your producer and friendly representative of the audience in this episode has been Ivana Kurecic.
We can be reached through podcast@validas.de and all information about Validas can be found on our website, validas.de.
70 قسمت
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