Up to date communication of relevant statistics provide useful information and make the agents insights more relatable. The options to go into more detail and see which data led to those scores creates transparency and allows for user correction.
Showing the user which conclusions the agent uses in which way and the relations it draws between those predictions lets the user make self determined choices whether those should be used for further job suggestions or remain hidden.
It is up to the user whether an agents specific conclusion is to be used for further job suggestions. This freedom of choice is present on multiple layers in the system. This combined with the option to correct a conclusion leaves final control with the users preference.
The user is presented the information the system uses to draw conclusions about preferences. Those connections make decisions more relatable and traceable.
Beneficial Reasoning
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